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Qualcomm readying new Arm server chip based on Nuvia acquisition – The Register

Chipmaker Qualcomm is said to be preparing to re-enter the Arm server market, based on technology the company gained from its acquisition of startup Nuvia last year.

Qualcomm is reportedly seeking customers for a product that has resulted from its takeover of chip startup Nuvia early in 2021, according to Bloomberg, which cites the usual anonymous sources familiar with the matter.

Nuvia was an Arm processor startup established in 2019 by ex-Apple chip designer Gerard Williams, along with a handful of other notable CPU engineers from other companies, as detailed by The Register at the time.

Nuvia's focus was on developing Arm-based datacenter chips, but the story surrounding Qualcomm's acquisition was that it wanted the Nuvia team to bolster its own Arm processor expertise so that it could potentially design its own cores for its SnapDragon smartphone chips rather than using designs provided by Arm.

Qualcomm famously abandoned its previous Arm-based server processor project back in 2018, halting development of its 48-core datacenter-focused Centriq 2400, after the company was forced to cut costs following mishaps including a hostile takeover attempt from Broadcom and Qualcomm's own acquisition of NXP falling through.

The company wasn't the only one to get burned fingers from trying to get into the Arm server space, with Broadcom ditching its own server chip project, and AMD deciding to focus its server development efforts on the Zen x86 processor cores despite actually bringing the Opteron A1100 series of Arm server chips to market in 2016.

Things have changed, and the hyperscale and cloud companies have started to show a renewed interest in Arm server chips because of their greater power efficiency compared with other server chips.

A fresh wave of Arm server processors, spearheaded by Ampere Computing and its CEO, former Intel president Renee James, has been making some progress. Microsoft's Azure is hosting virtual machines running on Ampere Altra chips, and Google introduced its first Arm-based instances based on Ampere Altra last month. HPE also announced Arm-based ProLiant datacenter servers at its Discover 2022 conference in June.

According to Bloomberg's sources, AWS has shown an interest in Qualcomm's latest offering, implying that the chipmaker already has working silicon to at least demonstrate to potential customers. AWS already offers server instances using its own Graviton Arm-based chips.

We asked Qualcomm to confirm whether it is preparing an Arm-based datacenter chip, but the company was not immediately available to respond.

Earlier this year, Qualcomm expressed its interest in being part of a consortium of chipmakers that could join forces and buy Arm from its owner SoftBank, rather than the chip designer being floated on the stock market. Others, including Korean chipmaker SK hynix and Intel CEO Pat Gelsinger, also expressed an interest in joining any such consortium.

In comments to investors on an earnings call reporting its results for Q2 ended March, CEO Cristiano Amon said: "We're encouraged by the broad interest in our upcoming products, utilizing our industry-leading CPUs designed by our NUVIA team. We continue to drive the inevitable transition to ARM-based computing while redefining the future of mobile productivity."

He later added on the same call: "As we think about the next generation, we have been developing our own CPU that's been designed by the NUVIA team. And we are going after the performance tier for focus about high scale in the enterprise. And development is on track, and we expect to have that in late 2023."

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Qualcomm readying new Arm server chip based on Nuvia acquisition - The Register

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Public Opinions on Immigrants and Refugees: Does the Data Inform or Misinform Us? – The MIT Press Reader

In this episode of the Harvard Data Science Review podcast, we dive into the data on refugees and immigration.

Each episode of the Harvard Data Science Review (HDSR) podcast functions as a case study into how data is used to lead, mislead, manipulate, and inform the important decisions facing us today.

In the episode that follows, we dive into the data on refugees and immigration. American public opinion seems very divided on these issues, but is it really? Is the U.S. more or less welcoming to refugees and immigrants than other parts of the world? What is the role of the media in influencing opinions on immigration? Will the U.S. Southern Border, Ukraine, and other potential refugee crises affect the upcoming political elections in the U.S.? We bring in two experts to help discuss: Katharine Donato and Scott Tranter.

Katharine Donato holds the Donald G. Herzberg Chair in International Migration at Georgetown University and is director of the Institute for the Study of International Migration in the Walsh School of Foreign Service at Georgetown University. Donato is also a co-author of the HDSR article Misinformation About COVID-19 and Venezuelan Migration: Trends in Twitter Conversation During a Pandemic.

Scott Tranter is the senior vice president of data science and engineering at Dynata and co-founder of ptimus Analytics, which was acquired by Dynata in 2021. He is also an investor in Decision Desk HQ, which provides election results data to news outlets, political campaigns, and businesses.

A stream and lightly edited transcript of the podcast, which was recorded in June 2022, can be found below. You can learn more about the Harvard Data Science Review, an open access journal published by the MIT Press, here, or listen to other episodes of the HDSR podcast here.

Liberty Vittert: Hello, and welcome to the Harvard Data Science Review podcast. Im Liberty Vittert, feature editor. And I, along with my co-host and editor-in-chief Xiao-Li Meng, are diving into a highly controversial topic today: refugees and immigration. American public opinion seems very divided on these issues, but is it really? Is America more or less welcoming to refugees and immigrants than other parts of the world? And how will the Southern border, Ukraine name a crisis affect the upcoming American political elections?

We bring in two experts to discuss. Scott Tranter currently leads data science and engineering efforts at Dynata. Hes also the co-founder of Optimist Analytics, which was acquired by Dynata in 2021, and is an investor in Decision Desk HQ, which provides election results data to news outlets, political campaigns, and businesses. We also have with us professor Katharine Donato, who holds the Donald G. Herzberg chair in international migration at Georgetown University, and is the director of the Institute for the study of International Migration in the Walsh School of Foreign Service at Georgetown University.

Xiao-Li Meng: Katherine and Scott, thank you so much for joining us. Since this is a data science podcast, the first question is about data. What are the current reliable opinion polls available out there about the general American public sentiment toward refugees and migrants, and how do we know these opinion polls are reliable?

Scott Tranter: Let me break that down into two questions: What are good ones, and how do we know theyre reliable? I still think Pew is probably the best resource for what I would call unbiased research on the American public opinion. They do a very good international public opinion as well on immigration issues and things like that. One of the reasons is that its very longitudinal. They have some questions on immigration going back 30, 40, 50 years now, probably even longer than that. And theyre very good and well-funded. They dont miss quarters. They dont miss reportings. And so we can look back at the 90s, of what people thought about cross-border immigration between U.S. and Mexico, and see how its evolved over the last 20 years as debate. How do we know its reliable? Thats the ever-pressing question with polling: Is it reliable?

And I think, Xiao-Li you and I have talked many times. Its statistics. Were getting close, but were probably wrong somewhere. And the key is to know where were wrong. Thats a long way of me saying I think Pew does a good job because theyre consistent. They may be wrong, but theyre looking at attitudinal shifts and if theyre off by five, theyve been off by five for 30 years and they get us right directionally, which I think is the important part when people look at polls. Dont look at the numbers and look for precision, look at the numbers and look for trends. And I think thats what everyone should take away from stuff like that.

Xiao-Li Meng: And this is a question for both of you. You both talk about this, the importance of thinking about things over time. As we know, the public tends to pay particular attention to issues like refugee migrants during times of crisis. Whether its Syria, Venezuela, now its Ukraine. How have things changed over time?

Scott Tranter: I think when we look at some of the polling in and around some of these countries before they become in the news you mentioned Syria, you mentioned Ukraine. The southern border, while it is persistent in U.S. politics, has times of spiking and not spiking. Its largely changed when we look at the U.S.-based stuff, its largely revolved around political party lines. And the messaging has roughly been the same over the last 10 or 15 years. Its not necessarily about the specific reason it popped up. During the 2020 election, it was around some of these migrant caravans coming from South America up through Mexico, across the border. It really wasnt about that specific caravan, while thats what the news covered. That was symbolic of the larger immigration issue as a whole. Whereas we see internationally when its about Syria, or Ukraine, its usually not about that specific instance.

Its about, what do we think about foreign aid? All of a sudden the public remembers that we spend billions of dollars on foreign aid. Its not hundreds of millions of dollars, things like that. Thats been primarily how the public has been viewing it over the last 10 or 15 years, mostly because of how they are consuming their news and where they get their news from. I think whats interesting or what Ive noticed has changed is there isnt a whole lot of movement, and Id be curious to see what Katharine thinks on this in general feelings about, should we support refugees overseas or by and large, should we support change to our immigration policy in the U.S.? The opinion lines have been pretty solidified, which is interesting because we do know from public opinion research and sociology and political science that you can change peoples opinions.

These things happen quite a bit. And I think theres an opportunity here for people who want to push their side to change up the messaging a little bit to get what they want, because we do see that in small-scale tests, whether it be message testing, ad testing, or focus groups. Theres quite a bit of consistency. Theres not a whole lot of change over the last 10 or 12 years in the messaging or what weve noticed in opinion, but it doesnt mean it cant change in the future.

Katharine Donato: I do think you bring up an important point, which is that as we think about countries to the south of our border at this point, really not Mexico, as much as northern, central America. The story thats told in the U.S. is very politicized. And actually, that goes back 30 years. Thirty years of one party viewing the border and viewing the issue in one way versus another. But that view is very different than whats believed with respect to Ukraine, with respect to Syria, with respect to Afghanistan. And because that story of refugees who come from those places come from a situation of international import, international aid and international relationships. The entire country was following the Afghan evacuation in August. I think primarily because we had been we as a country and so many Americans had made relationships and understood the real life experience in Afghanistan and understood people and said, We really have to do something. We have spent decades in this country and we really need to get these people out.

We, in theory, could have that same opinion about Honduras, but we dont, and thats partly because the politics and the messaging around the countries south of the border has never been the same kind of messaging that recently weve seen with Afghanistan and Ukraine. And you could argue that kind of messaging doesnt exist for smaller scale movements of people who are forced to move.

Think about the Rohingya in Bangladesh. That was certainly forced movement, but it wasnt about international relationships between the United States and other countries. It wasnt about international aid. And there still are over 700,000 people from Myanmar living in Bangladesh with I dont know what kind of future there and more and more kids being born stateless because Bangladesh isnt giving them birth certificates. These sorts of situations when theyre not part of foreign aid and foreign assistance really just sit and fuel other issues that are problematic over time.

Liberty Vittert: I do have a question about these movements of people. Something like the Afghanistan crisis. It was a very easy thing for someone to wrap their head around. These people helped us. The Talibans now coming to kill them. If we dont get them out, theyre going to be killed. Thats a very easy thing for me to understand. Whereas with something like the southern border, when I was recently there, I met people who had been forced out of Honduras because the government was trying to kill them, but I also met a family who was coming up because the father simply couldnt find a job, but it wasnt like the government was coming to try to kill him. I can understand how theres confusion between those two types of people specifically for Americans. Is there real data on how many people are coming from our southern border that are what you would normally think of as a refugee, like the Afghanistan crisis versus people who are coming for other valid reasons, but not necessarily for refugee status?

Katharine Donato: Let me say this: Reasons and motives are messy. Every time I go to either border the U.S. southern border, the Mexican southern border, doesnt matter people tell you all kinds of things. Let me step back by saying, in response, that you can wrap your head around the idea and most Americans did that. We worked with these people for 20 years in Afghanistan. And so many of them now, as the Taliban takes over, are going to be at risk and we owe it to them and our country to move these people out and give them a place for them to raise their children in a peaceful way. But migration from northern central American countries started growing in the late 80s. It took off in the 1990s. There was essentially no migration from northern central America before the mid-1980s.

And then 20 years later, were wondering why there are so many children at the border. Those kids are trying to reunite with their parents who are in the U.S.

What I dont understand is why we cant wrap our heads around the fact that we, the United States, has been relying on the labor of immigrants from northern central America and from Mexico for decades. And then were surprised that when the kids get to be 13, 14, 15, they want to live with their parents?

Back in 2014, I was saying this. Why arent we helping evacuate those kids to go to the U.S. in a legal, safe way versus what has happened?

Which is they hire smugglers and come up to the border. To me, thats a very simple thing that people could get their heads around, but theres a lot of resistance to recognizing how much we in the U.S., our lives are subsidized by the lives of immigrant laborers. We do as a nation and as an economy rely on immigrant labor and yet we cant wrap our arms around the fact that there could be kids and grandkids who want to reunify after years of living without their parents. These kids want to reunify with them here.

Liberty Vittert: Its funny, I wrote an article using a lot of data about how we need to increase immigration or risk economic disaster for the United States, but Im totally with you. And it makes so much sense. I cant help but wonder though, is there a difference in the way Americans feel versus Europeans? Scott, is there any data on this: Are Europeans more willing to accept immigrants or is the U.S. more willing to accept immigrants? I think with news messaging, I always imagine that Americas the most closed off, but maybe its not. Do we have any feelings about this or knowledge about this?

Scott Tranter: Its funny you bring that up, because I always talk about it. Let me bring up one extreme example. You look at the country of India and how much immigration they allow. Naturalized immigration. I think its in the low four digits. A country with over

Liberty Vittert: What? You mean like 1,000 people?

Scott Tranter: Yes. Naturalized. They allow guest workers and things like that, but theyre just like, No, were not going to naturalize someone from Canada who wants to move to India. And I think we see that a lot. Im using an extreme example there, but lets take a look at the Syria refugee crisis. And a lot of those folks were moving through Eastern and Western Europe. And you would see in places like France, especially the suburbs of Paris, lots of riots, lots of opinions and lots of, to be honest, racism against Syrian immigrants as they came through. You see this in Germany, you see this in Hungary. You see this in Poland. You saw this in Ukraine, too. Immigration is a huge issue in Europe and its highly polarizing. And I would argue in some instances more polarizing than it is in the U.S. because I think they have a little bit more in-your-face protests about it and things like that.

But the U.S. is by no means the worst and by no means the best if your measurement in worst and best is acceptance of immigrants. Its a big issue everywhere. Whats interesting is the rhetoric and some of the opinion and messaging around it. In the U.S. in the early 2000s, the messaging was always, we dont need immigration because wed like the Americans in the job. Over the last five or six years with unemployment sitting somewhere between 3 and 5 percent, which is historically low, thats a harder message to do. But in places like France, where you will see unemployment, especially in regions, at 10 to 15 percent, thats still a pretty potent argument. And its one of those things I think internationally is an issue. Enlightened might be the wrong word, but I dont necessarily think our European friends are looking at immigration any better or worse than we are. Theyre looking at it with similar problems and on similar scale.

Katharine Donato: I totally agree that its not the worst here. We do have a system to naturalize and you can set yourself up to naturalize after getting permanent residency. It takes time. Its an investment, but it can be done. And in many parts of the world, no one can be naturalized, or as Scott said, very, very few people can be naturalized. Theres a long history of many European countries not allowing citizens to be foreign nationals. But even during periods of tight restrictions, there are still foreign nationals who are permitted to live in the U.S. permanently and to be naturalized. I talk about all the problems in the U.S. system and at the same time recognize that we are in one of the nations that along the lines of citizenship and some other factors has a pretty good track record. Id love to hear Scott talk about the border for people who dont know much about the border and many people in the U.S. and if we just think about the southern border, many people in the U.S. and in Mexico really know very little about the border.

The border is a really unique, specific place, physically, and economically with respect to the movement of people. And yet when it comes to the politics around the border and the political opinion around the border, in the minds of many, they equate the border to migration. When in fact the border is so much more than that. I think if we were able we, the big broader U.S. if we were able to see the border as more than migration, we actually could do some really good things that would strengthen that regional border place, which for me is typically 20 to 40 miles from the border north and south. And we could strengthen it in so many ways that would make it a better place for everyone there.

Scott Tranter: I know were on the data podcast, so I will bring in a qualitative focus group I was in. It was interesting. Were in Minnesota and youre asking people about what the border meant to them. So Minnesota, right, they have the Canadian border, but theyre pretty far away from the southern border. And they had some pretty strong opinions about how the border affected their day-to-day life. Think about that. They think the U.S. southern border affects their day-to-day life and they might make an argument They might say, We need a strong southern border because I want trucks to pass through freely so I get goods better. They might make an economic argument, or et cetera, et cetera, et cetera. But no, they were making a safety and fairness argument.

And the safety and fairness argument was first, theyre like, An unprotected border lets in a lot of people we may or may not like, whether they be criminals or terrorists or whatever it is. So theres an aspect there. And a fairness is, its not that we dont like them, its just why do they get to cut the line? And for them, the border is symbolic of those two things. And if we sat in focus groups, and Im sure there have been some poll questions constructed, although theyd probably be pretty poorly constructed poll questions that ask at that Generally speaking, I would say if youre asking it within 30 or 40 miles of the border, youll probably get a better answer. But if youre asking it anywhere in America, the border pretty much is equated with fairness and safety and things like that, whether thats true or not.

And I think that is just the easy answer for folks. And thats what has been drilled in for the last 15 or 20 years with 30-second ads and 10-second flashes and 10-minute fiery speeches. And its one of those things I think we need to get off the sound bites and a little bit thats the public. I blame the public for this were just people of convenience, and I dont really want to think about this much longer than the 15 seconds thats in front of me. Thats the answer in all public opinion. If we are doing this on climate change and how to educate people on that, it really boils down to, we have got to stop speaking in 15-second increments. If we ask the border question of some very staunch Republicans who own hundreds of acres on the U.S.-Mexican border, theyre actually fairly pro-immigration as far as it goes in the political spectrum. They vote Republican every single time and they own property on the border and they own guns and all the other things.

But theyre like, Look, unless youre going to put a hundred-foot fence up and then man someone every 10 feet, the wall isnt an answer. We have to have a comprehensive We have to have a way to get it. And oh, by the way, I want some of these workers to work on my farm and they want to work on my farm and then they want to go work somewhere else. And I think, the closer you get to the issue, the more educated people get. Its just because they have to spend more than two minutes on it.

Liberty Vittert: We can say, what is the general American public feeling or we can say, what is the general international feeling towards the refugees or immigrant movements, but how does it break down? If were actually trying If political parties either direction, or if organizations nonprofits are trying to sway American public opinion one way or the other in terms of how they feel about refugees and migrants, who is it that they need to sway? Who feels which way? And what is the kind of messaging that works? What can actually make someone feel better? Scott, I remember USA for UNHCR did some work. And there were things that surprised me that actually swayed people negatively, gave people less affinity for the cause. That surprised me. How do we figure those things out?

Scott Tranter: I think public opinion polling is important, but I think we also need to go upstream with some of the message testing and how we present this information. And let me give you a parallel. When looking at trying to convince people about climate change, what a lot of organizations found was that we dont talk about the scary parts of climate change, we talk about if the sea is going to rise, then your flood insurance is going to get higher. That actually happened to convince a lot of people who are like, I dont know, climate change may be a thing, may not be a thing, but if youre telling me my home insurance is going to go up, my flood insurance is going to go up, Im going to start paying attention to this. If we take that example to immigration, maybe we dont talk about some of the hard It could go either way. Maybe we dont talk about some of the hard economic choices. We talk about the moral choices. And then we see things like the Catholic church specifically in the U.S., theyre considered relatively pro-immigration and thats the angle they go, and they seem to have some efficacy there. Or on the flip side, Ive seen some testing on some ads where people crossing the border, theyre going to be here, whether or not you think they should be here or not. So they should be in the system so they can be contributors and they can not be in the shadows of society. Thats reason and logic. And thats a long way of me saying there are a lot of different ways to do it and different pockets of people respond differently but what we really need to do is take the one step beyond the public opinion and really start message testing this and seeing what different groups it goes against.

Katharine Donato: And I would say the message testing has to be not done at one point in time only because we do live in this very dynamic political landscape at the moment. A dynamic, lets say, just in the last 10 years, if we think about politics. We need to be able to do that message testing, make a commitment to do it over a period of years and different months in a year so that we can really figure out whether or not something is specific to a particular time and place, or whether it truly can make a difference across, lets say, much of one country over a period of a few years.

Xiao-Li Meng: Speaking of informing the public and educating the public, having longer conversations to make sure everybody understands what things really are Theres one thing that has changed over the time and is increasing becoming a concern for all of us and Katharine, thank you for your wonderful article for Harvard Data Science Review about misinformation, that you wrote about how the trigger is misinformation about a set of announcements about entry and exit restriction at the Venezuela and the Columbian border. My general question here is, first, what do we know about the impact of this misinformation? As Scott just said, a 15-second ad can influence peoples thinking and 15 seconds of misinformation can probably do quite a bit of damage. And my second question probably is even a little bit harder: How do we make sure that particularly for the data science community itself, that when we study those issues, that we make sure we dont fall into the trap for example, select or study something that supports our ideology, because that can distort the information?

Katharine Donato: Let me say that the piece that I wrote for the journal, we looked at certain announcements and certain events, and then tried to We used Twitter data to look at the conversation before and after those events and those announcements. And on the one hand, there is a lot of concern and we need to be concerned about misinformation and all the information that is not empirically supported, but on the other hand and one of the events that we focused on was the president of Venezuela when he announced that there is a miracle drops cure to COVID. We were interested in seeing after that day, how much that messaging sustained itself. And for the first few days we saw in terms of frequency a lot of messaging, but the key finding is that messaging drops down to almost zero within the first two weeks of that announcement.

It wasnt successful from Maduros point of view, I assume, or his people, because Im assuming that they had hoped to make this announcement because they wanted other things to happen. And that the announcement itself just has no salience on Twitter by a month afterward. That gives me some hope that some forms of misinformation will not have the saliency that I would worry about. That I would worry about. And you can measure that by in this case, we use Twitter, but you could also look at other forms of organic data that would help you, lets say, from online newspapers and different languages. And you could look at any event or any announcement and try to understand whether or not a conversation about that event or announcement shifts over time. Thats interesting. That is something that before this age of social media, we couldnt do. We did look at the conversation, but we didnt have the same data. We didnt have the same amount of data. We didnt have all of the data analytics we have now.

On the one hand, were moving forward. On the other hand with all of the social media, we have certainly evidence of I dont know if its more or less; I fear that its more misinformation and the ability for computers to create more of that misinformation on their own. Increasingly, in all areas of the social sciences, we move toward using these data more, absolutely. If we have a fabulously important question, we also have to prioritize the misinformation piece. What are we going to do to answer the question, to me now, is only half of the question that ultimately needs to be asked and answered because the other half has to be, how do we know what were seeing is real? And how do we understand the various forms of manipulating the messaging or the conversation that were studying?

Liberty Vittert: Professor, is there a specific example over the past X amount of years of a trend that really surprised you or that you think that people wouldnt know about when it comes to sentiment?

Katharine Donato: I dont know how much people know about it because you cant really tell in this politicized environment were living in. I think a lot of people know this, but they dont own it as knowledge thats important, at least thats my sense. Im not a politician, but the fact that you have 80 percent or so, give or take, of the American public supporting DACA and supporting a way of making DACA become more permanent as a status thats the program that President Obama through executive action started in 2012. It just actually had its 10 year anniversary. DACA stands for Deferred Action for Childhood Arrivals and I think estimates are about 700,000+ people in the United States have DACA. It is not a legal status. It is a status and its temporary, but it does allow people who came in either with their parents or without their parents, as children, to move their status toward regularizing it so that they can work in the U.S. and they can be above the table versus below.

When you look at public opinion about DACA recipients, you just see very high numbers, a lot of support. And yet its 10 years old and we still have 700,000 or more people without a formal regularized status. And when I talk and I tell people about the support for DACA, sometimes people know. People on both sides of the political spectrum or on all sides will know theres a lot of support for the DACA recipients. And yet at the same time, theres been no change, no ability in Congress to move it forward. Thats just one of several examples I think. Generally, the U.S. public is in support of immigration and yet we hear so much more in the media about, lets say, the problems on the immigration side. I dont know if its just that people dont know some of the findings about public opinion nationwide or they just dont then own it to move some change forward.

Liberty Vittert: Given all of this misinformation, given all these conversations about refugees and migrants, Scott, you are the caller of the elections coming up in 2022 and 2024. How much will these conversations be affecting 22 and 24?

Scott Tranter: Thats always my favorite question, especially when were four months out. What I have been amazed about is the publics ability to not have any attention span. And what I mean by that is whatever were talking about today, if were talking about it in the final four to two weeks, then maybe, but if we know what were going to be talking about in the final two to four weeks in October, we should all go start a political consultancy, because we will all be bajillionaires and pick the winner.

Liberty Vittert: Well go to Vegas and bet on the winner.

Scott Tranter: Vegas or the UK where you can actually bet on this stuff. The answer is that its possible, but politics doesnt drive the news. Politics reacts to the news. And what does the news do? The news is very, what can I get attention on? If you tell me what were going to be talking about in October, Ill tell you what the issues are, but I dont think anyone can do that.

Thats a long way of me saying immigration is always going to be an issue on peoples radar if its polled. It is consistently polled on the top five of issues. Its usually not the number one. Occasionally it gets number one. For instance, in 2008, it was number one in Arizona for the presidential. Why? Because John McCain ran on those types of things, but it is usually top five. And when I say top five, everyone could probably guess its big broad issues like immigration, healthcare, jobs, and economy. Sometimes you separate those out and then theres usually some foreign affairs aspect or something like that. But those generally are what they are. Today, the number one issue, by and large, is inflation, which is a proxy for the economy.

Liberty Vittert: Its the economy, stupid. Isnt that the quote?

Scott Tranter: Its the economy stupid. Yeah, James Carville and Paul Begala used to say that. Its one of those things, and why is that important? Its because gas in California is above seven bucks a gallon. Thats what they care about and thats whats on the news. And I dont know if this will be an issue this fall. I do know that border issues, immigration issues are fundraising issues for both the Democrats and the Republicans. Even though its not maybe talked about in the news, its what a significant amount of Republican candidates use to their position on what they think should do with the border. They will raise millions if not tens of millions of dollars on their position. And so will Democrats, by the way. Democrats will also, off their immigration positioning, raise millions, if not tens of millions of dollars. It is an issue that resonates. Whether its an issue that moves the middle or moves the sway-able voters, thats a different question. And I dont have an answer for that, but it does move money among the opinion hardened left and right.

Xiao-Li Meng: Thank you, Katharine and Scott, for this really both informative and thought-provoking conversation. Unfortunately, we have to wrap up. But we always end with this magical wand question, and todays question is, what data do you want? If you can wave your magical wand, what data do you want about refugees that you dont have?

Katharine Donato: What I really want are detailed movement histories. And when I say detailed I dont just want to know if youve moved because you were forced to move. I want to know when you moved, how long it took you to get to wherever youve gone, whats happened in the place that youve been received and, importantly, if youve moved beyond that first move. We know very, very little about secondary and tertiary movements among forced migrants, whether theyre formally refugees embedded by the UNHCR or not. Remember that less than 1 percent of refugees get resettled. UNHCR vets people, gives people the refugee label following global protocols, and then most refugees remain refugees and cant really leave where they are, but we dont really know that. We just know that only 1 percent get resettled. What happens to everyone else and what happens even after you get resettled?

I would like to see migration history data that are timed that would allow us to understand the first, second, third moves of people. And then we could really tie such data, if theyre tied to time and place. We can then integrate other traditional data sources with them. We could certainly understand climate-induced migration and environmentally induced migration in a much deeper way than we have. We have some survey data that offer those kinds of detailed migration histories, but theyre very specific to place and certain migration circuits around the world. And none of the global multilateral organizations collect such data because theyre in the business of providing relief as well as some other things. Theyre too busy, but I think we could make a really significant move forward if we had such data about people who were forced to move.

Xiao-Li Meng: Thank you. Scott?

Scott Tranter: In my answer, its going to be a little more specific. I would love Specifically in the U.S., economic migration history. What I always wondered is if youre a person who crosses the border, you walked 10, 15, 20, 30, 40 miles in an area I would never walk to a place where youre not sure how youre going to feed or shelter yourself. And then a lot of these people, by and large, are getting jobs and then they are working themselves up to pay for shelter or send their kids to school and things like that.

And I think if we had good economic data on what happens to these immigrants, especially in the U.S., on how they integrate themselves into society, I think thatd be much more enlightening and move us away from the anecdotes of, Theyre just coming here so they can rob a 7/11 or theyre just coming here so that they can walk into an emergency room and glum off healthcare. I think if we had hard data, irrefutable data on what these people did once they came across and not just 30 days after, but years after I think wed do away with the anecdotes and really bring some hard data to it.

Xiao-Li Meng: Wonderful. And both of you, Ill just remind the whole data science community how hard it is in this humanitarian study to collect data. And I really want to thank both of you, but I also want to just again, make a plea to the general data science community through this podcast, that there is so much more can be done, should be done. And the data science community can help. And I think I keep using the words data science here in a broadest sense because lots of things here are really about even how to ask the question, what to measure, and in this geo-space, one of the hardest things about collecting data is that you will have countries, regimes that will actively conceal their data. This is another level of complication that I think really the whole data science community can help to work on. And, again, thanks to both of you for such a thought-provoking conversation, and thank you again for your time.

Liberty Vittert: Thank you both so much.

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Public Opinions on Immigrants and Refugees: Does the Data Inform or Misinform Us? - The MIT Press Reader

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RS21 Ranks on Inc. 5000 List for Third Consecutive Year – PR Web

ALBUQUERQUE, N.M. (PRWEB) August 19, 2022

RS21, a leading data science company that empowers organizations to make data-driven decisions, is recognized on the Inc. 5000 list of Fastest Growing Companies in America for the third consecutive year. The prestigious list represents a one-of-a-kind look at the most successful companies within the economys most dynamic segmentits independent businesses. Facebook, Chobani, Under Armour, Microsoft, Patagonia, and many other well-known names gained their first national exposure as honorees on the Inc. 5000.

Dynamic leaders across the country want to make better decisions and create a better future, and since we began RS21, weve seen just how much demand there is for intuitive, inspiring insights and innovative technology, said Charles Rath, President and CEO of RS21. I want to acknowledge our team for helping move the needle for our clients and earning this recognition for RS21 three years in a row.

RS21 first made the list in 2020, ranking in the top 500 with 947 percent growth. The company has continued to show rapid growth, reporting another 146 percent increase over the past three years.

The companies on the 2022 Inc. 5000 have not only been successful, but have also demonstrated resilience amid supply chain woes, labor shortages, and the ongoing impact of Covid-19. Complete results of the Inc. 5000, including company profiles and an interactive database that can be sorted by industry, region, and other criteria, can be found at http://www.inc.com/inc5000.The accomplishment of building one of the fastest-growing companies in the U.S., in light of recent economic roadblocks, cannot be overstated, says Scott Omelianuk, editor-in-chief of Inc.Inc. is thrilled to honor the companies that have established themselves through innovation, hard work, and rising to the challenges of today.

More about Inc. and the Inc. 5000

MethodologyCompanies on the 2022 Inc. 5000 are ranked according to percentage revenue growth from 2018 to 2021. To qualify, companies must have been founded and generating revenue by March 31, 2018. They must be U.S.-based, privately held, for-profit, and independentnot subsidiaries or divisions of other companiesas of December 31, 2021. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2018 is $100,000; the minimum for 2021 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. Growth rates used to determine company rankings were calculated to four decimal places. The top 500 companies on the Inc. 5000 are featured in Inc. magazines September issue. The entire Inc. 5000 can be found athttp://www.inc.com/inc5000.

About Inc.The worlds most trusted business-media brand, Inc. offers entrepreneurs the knowledge, tools, connections, and community to build great companies. Its award-winning multiplatform content reaches more than 50 million people each month across a variety of channels including websites, newsletters, social media, podcasts, and print. Its prestigious Inc. 5000 list, produced every year since 1982, analyzes company data to recognize the fastest-growing privately held businesses in the United States. The global recognition that comes with inclusion in the 5000 gives the founders of the best businesses an opportunity to engage with an exclusive community of their peers, and the credibility that helps them drive sales and recruit talent. The associated Inc. 5000 Conference & Gala is part of a highly acclaimed portfolio of bespoke events produced by Inc. For more information, visit http://www.inc.com.

About RS21RS21 is a rapidly growing data science company that uses artificial intelligence, design, data engineering, and modern software development methods to empower organizations to make data-driven decisions that positively impact the world. Our innovative solutions are insightful, intuitive, inspiring, and intellectually honest. With offices in Albuquerque, NM and Washington, DC, RS21 is an Inc. 5000 fastest-growing company two years in a row and a Fast Company Best Workplace for Innovators.

We help clients achieve programmatic goals, improve efficiencies, reduce costs, and maximize productivity using MOTHR, our human-centered, artificial intelligence engine that allows users to seamlessly integrate data and reveal insights at hyper speed. We navigate complex data issues in the fields of healthcare, defense, safety, urban planning, energy, cyber, land use, climate, disaster preparedness, disaster recovery, space, and social equity. For more information, visit http://www.rs21.io.

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How skill-based ed-tech trends are bringing in a paradigm shift in higher education – Times of India

Experts concur that new technologies such as Data Science, Cybersecurity, AI & ML, as well as relevant skill-based tools are the future of building a strong technology infrastructure to entirely transform the higher education sector by providing skill-based education and learning.

Ed-tech players provide a perfect platform to upskill Indias graduates and working professionals, promoting a skills-based approach to higher education in the face of new industry-specific skill demands and technological advancements. With industry requirements changing in tandem with economic and social progress, as well as the impact of rapidly progressing technology, a vast number of funds, and other macroeconomic factors have set the stage for Indias next chapter of growth.

Despite the fact that economic circumstances are changing with continuous new technology, there is a need for graduates and working professionals to have access to comprehensive upskilling programs and tools. Its critical for Indias flourishing workforce to acquire new skills to keep up with these tectonic shifts the Indian economys engine is its employable workforce. Recent years have also witnessed a mind shift in hiring, with companies favoring a skill-based to a degree-based approach. Core skills take precedence over degrees under this mode of hiring needs. This paradigm shift eliminates barriers for learners who want to learn, increasing the talent pool in businesses.

Higher education programs that focus on specialization in emerging technologies like Data Science, Cybersecurity, AI & ML, are an ideal approach for graduates and professionals who want upskill or reskill to build successful careers in these fields. It is appropriate for professionals who want to keep up with the shifting present-day business climate while using cutting-edge curricula and teaching methods. In todays world, understanding ed-tech trends like Cybersecurity, Data Science AI (Artificial Intelligence), and ML (Machine Learning) is the need of the hour to help boost productivity, automate procedures, and execute complicated computations. Analytics, cloud computing, full-stack software creation, and Cybersecurity are all in high demand. These skills are in high demand because they provide a competitive advantage.

There is a big push for specialization in these areas and many other upcoming technologies as they have the potential to change how we live and work. Understanding and learning about these technologies are being given importance in higher education so that learners can make informed decisions about their future. Technology has always been a major enabler of economic growth and development. In the past, the focus was on using technology to automate manual processes and improve efficiency. However, there is a new wave of technologies that are focused on Data Science, cybersecurity, AI and Machine Learning (ML). These technologies have the potential to transform various industries and sectors, including education.

The application of Data Science, cybersecurity, AI and ML in the workplace can help organizations improve their decision-making process, automate repetitive tasks and gain insights into customer behavior. However, these technologies can only be utilized to their full potential if the workforce has the necessary skills. Data science is rapidly changing the landscape of higher education. By harnessing the power of data, institutions of higher learning are able to gain insights that were previously unavailable. This is resulting in a paradigm shift in how higher education institutions operate and provide value to their students. In the past, the focus of higher education has been on providing students with the knowledge and skills necessary to succeed in their chosen field. However, with the advent of data science, institutions are now able to focus on providing value-added services that can help students in their studies and career development.

One of the most significant changes that data science is bringing to higher education is helping institutions to identify and track student progress. By collecting data on student performance, institutions can identify areas where students are struggling and provide targeted interventions that can help them improve. Data science is also changing the way in which educational institutions communicate with their students. In the past, communication was often one-way, with institutions sending out information and expecting students to consume it. However, with Data Science, institutions are now able to interact with their students on a more personal level, providing them with the information they need when they need it. The changes that data science is bringing to higher education are just the beginning. As data becomes more accessible and institutions become more adept at using it, we can expect to see even more transformative changes in the way these institutions operate.

The traditional educational system needs support to meet the requirements and demands of todays students. The workforce is changing and the skills required to be successful are also evolving. To meet the demands of the new economy, higher education must adapt and provide students with the necessary skills to succeed. One of the most important skills that students need to learn is how to protect themselves and their data online. With the rise of the internet and digital technologies, Cybersecurity has become one of the most important issues facing society today. As more and more industries move online, the need for qualified Cybersecurity professionals is only going to continue to grow. Ed-techs are rising to meet this challenge and providing students with the skills they need to succeed in the workforce.

AI & ML is further augmenting access to quality and affordable higher education, creating new avenues for employment and entrepreneurship, and helping students have access to the latest technology and resources so that they can stay ahead in the competitive world. An AI system can function as a personal tutor or teachers aide, delivering the appropriate material to each student while also keeping the teacher informed of their development. The educator can then devote more attention to specific students. In this way, every student can get the best out of their education.

AI & ML helps in creating an environment for peer networking and enhancing learning opportunities this helps in fostering a community of learners who can share their knowledge and experience with each other. In addition, new AI-enabled methods help in assessing student performance rather than their ability to regurgitate information. This further helps in ensuring high-quality education and learning.

Organisations and businesses are also investing in meaningful higher education programs and providing incentives such as tuition reimbursements to employees who upskill in these trending domains.

The growing popularity of skill-based recruiting also implies that professionals must have some understanding of current technological trends and tools to be successful, aside from communication, leadership, creative thinking, risk assessment, and empathy, which are just a few examples of non-technical or soft skills that will help employees succeed. With Indias rise as a global economic giant and technology-driven innovation power, its workforce will need continual upskilling and reskilling in innovative educational technologies and fields to remain competitive with the industrys changing forms. Theres no doubt that the demands for specialized skill-based knowledge are changing. And these changes are driven by the rise of ed-tech trends like data science, cybersecurity, and AI & ML.

Views expressed above are the author's own.

END OF ARTICLE

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How skill-based ed-tech trends are bringing in a paradigm shift in higher education - Times of India

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Guest column: Bringing the ‘community’ back to community college – VC Star

Julius Sokenu| Your Turn

Editors note: This is the first part of a two-part article on how community colleges partner with families and the community.The second part will run next Sunday.

As Moorpark College begins another academic year, I am reminded that Ventura County community colleges never truly take a summer break from fulfilling the year-round educational needs within our service area.

I am overjoyed our campuses are awash with new activities and new, younger faces over the summer. As president of Moorpark College, I see how our campus continues to play a vital role in the lives of some of our youngest community members with our Childhood Development Center, summer camps at Americas Teaching Zoo, biotech and theatre arts programs and high school technical career workshops.

These enrichment opportunities happen because our community is eager and ready to engage with us as never before. As challenging as COVID-19 has been for all students and educators, cultivating and maintaining partnerships with community members and organizations continue to be some of the most important relationships we have. They point to how our colleges and community are stronger together.

Integral to this community-building is how Moorpark, Oxnard and Ventura colleges partner with high schools, community organizations and local industry to increase the number of young students being introduced to college programs. While community colleges consider the needs of each student, those with significant challenges benefit the most when they are introduced to our college and our programs at an early age.

At Moorpark College, we serve a wide variety of students: English learners, socioeconomically disadvantaged, disabled, foster youth, homeless, first-generation and disproportionally impacted, among others. We tailor services to these populations to address their specific needsand help them realize their dreams, whether they are transferring to a four-year institution or finding meaningful employment in our community.

Through dual enrollment, where high school students enroll in college classes, we see a greater number of high school students on our campuses. California has committed tremendous funding toward career education at high school and community college levels with the understanding that we will coordinate our efforts districtwide.

Moorpark College offers more than 75 exciting career education (CE) programs, such as biotechnology, computer network systems engineering (CNSE), data science and engineering. Many of these programs are designed to assist underserved populations in helping them progress from high school through our colleges to gainful and rewarding employment.

These partnerships also help older students reinvest in themselves to transition to high-tech, high-wage CE certificate programs at our colleges.

Moorpark College hosts summer and community-based pre-college activities, and special attention is focused on preparing students to be college-ready. This helps close the achievement gap for minority and low-income students.

Students are introduced to target programs in science and math classes through high school pathways. The goal of these programs is to make college less intimidating and to encourage confidence in attaining challenging and well-paid employment.

Here are just a few of the programs that we offer:

For students and families who think that college is a far-off dream, these programs offer a bridge to a new way of thinking about their future. I have seen this work in action at Moorpark College, and there is no greater or more exciting investment that we can make in the future of our community.

Lives are changed when our communitys younger students explore the technologies, equipment and practices of high-wage careers. This is especially true for students who thought college was an unattainable dream, beyond their socioeconomic means to achieve.

This is the contribution of Moorpark College to our community. Hand in hand is the communitys contribution of support for introducing young students to the opportunities available on our campuses.

Julius Sokenu, Ed.D., is the president of Moorpark College. To learn more about Moorpark College, visit MoorparkCollege.edu.

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integrate.ai Announces Availability of New Platform for Collaborative Machine Learning and Analytics Across Sensitive Data – Business Wire

TORONTO--(BUSINESS WIRE)--integrate.ai, a SaaS company helping developers solve the worlds most important problems without risking sensitive data, today announces the availability of its privacy-preserving machine learning and analytics platform.

The platform leverages federated learning and differential privacy technologies to unlock a range of machine learning and analytics capabilities on data that would otherwise be difficult or impossible to access due to privacy, confidentiality, or technical hurdles. Traditional approaches to machine learning and analytics require centralization and aggregation of data sources, often necessitating data-sharing agreements and supporting infrastructure. This can present an insurmountable roadblock for the worlds most important data-driven problems, particularly in the healthcare, industrial, and finance sectors, where data custodians must enforce the highest privacy and security standards to ensure regulatory and contractual compliance. With integrate.ais solution, collaboration barriers can be broken as data does not need to move. It allows data to stay distributed in its original protected environments, while unlocking its value with privacy-protective machine learning and analytics. Operations such as model training and analytics are performed locally, and only end-results are aggregated in a secure and confidential manner.

When data can be securely accessed and collaborated upon, we unlock boundless opportunities for life-saving research and innovation. By allowing organizations to work in a federated way, our platform helps reduce cost structure, accelerate progress against product roadmaps and capture new revenue opportunitiesall with more speed and flexibility than any other solution on the market, said Steve Irvine, founder and CEO of integrate.ai. Business and technology leaders alike increasingly recognize the global shift towards a more distributed paradigm. After serving at the forefront of this shift over the past five years, this platform will continue to grow into a product suite of easy-to-use tools for developers addressing humanitys greatest challenges.

integrate.ai is packaged as a developer tool, enabling developers to seamlessly integrate these capabilities into almost any solution with an easy-to-use software development kit (SDK) and supporting cloud service for end-to-end management. Once integrated, end-users can collaborate across sensitive data sets while data custodians retain full control. Solutions incorporating integrate.ai can serve as both effective experimentation tools and production-ready services.

DNAstack, a company that offers software for scientists to more efficiently find, access, and analyze the worlds exponentially growing volumes of genomic and biomedical data, is using integrate.ais product platform to support federated learning in their work in autism. DNAstack leads the Autism Sharing Initiative, an international collaboration to create the largest federated network of autism data, empowering better genetic insights and accelerating precision healthcare approaches.

Autism is complex and research has shown the value of connecting massive datasets to drive critical insights. Genetic and health datasets are large, sensitive, and globally distributed, making it impossible to bring them all together in one place, said Marc Fiume, co-founder and CEO of DNAstack. Federated learning will empower us to ask new questions about autism across global networks while preserving privacy of research participants.

In the heavily regulated worlds of healthcare, financial services, and manufacturing, roadblocks to collaborating with sensitive data abound from existing and proposed privacy regulations and intellectual property (IP) concerns to the high cost of centralizing massive datasets. Data science initiatives often fail or never start in the areas where their impact could be most life changing, such as early cancer diagnoses and detections of fraud, underscoring the considerable need for privacy-preserving data analytics solutions. Armed with experience serving enterprises across six industries and the construction of its own data network, which leveraged 20B interactions between businesses and people, integrate.ai enables safe access to sensitive data with developer tools for privacy-safe machine learning and analytics.

To learn more about the integrate.ai platform and how it enables builders to solve the world's previously unsolvable problems by increasing access to quality data, visit integrate.ai or click here to sign up for a free trial of the product.

About integrate.ai

integrate.ai is a SaaS company democratizing access to privacy-enhancing technology to help developers solve the worlds most important problems without risking sensitive data. By breaking down collaboration barriers within and between organizations, integrate.ai empowers developers and data teams with the privacy-preserving tools they need to harness collective intelligence. Armed with experience serving enterprises across six industries and the building of its own data network, which leveraged 20B interactions between businesses and people, integrate.ais product platform is increasing quality data access in healthcare research, financial services, industrial IoT and manufacturing, process automation, advertising, marketing and more.

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integrate.ai Announces Availability of New Platform for Collaborative Machine Learning and Analytics Across Sensitive Data - Business Wire

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Vancouver hosts conference that will see physicists try to crack the theory of everything – CBC.ca

Some of the world's brightest minds are gathering in Vancouver this week to try to solve a question that has baffled physicists for decades.

The two pillars of modern physics the theories of quantum mechanics and general relativity have been used respectively to describe how matter behaves, as well as space, time and gravity.

The problem is that the theories don't appear to be compatible, said Peter Galison, a professor in history of science and physics at Harvard University.

"These theories can't just harmoniously live in splendid isolation, one from the other. We know our account of the world is inadequate until we figure out how to make them play nicely together," he said in an interview after giving a talk on how black holes fit into the equation.

Galison is among several leading thinkers who arrived at the Quantum Gravity Conference, held at the Westin Bayshore Hotel,for the launch of a new global research collaborative known as the Quantum Gravity Institute in Vancouver.

While speakers at the conference are primarily scientists, including Nobel laureates Jim Peebles, Sir Roger Penrose and Kip Thorne, those behind the institute come from less likely fields.

The Quantum Gravity Society represents a group of business, technology and community leaders. Founding members include Frank Giustra of Fiore Group, Terry Hui of Concord Pacific, Paul Lee and Moe Kermani of Vanedge Capital and Markus Frind of Frind Estate Winery.

They are joined by physicists Penrose, Abhay Ashtekar, Philip Stamp, Bill Unruh and Birgitta Whaley.

The Early Edition8:46How scientists are getting closer to understanding quantum gravity, which could lead to life-altering new technologies

Lee,managing partner of Vanedge Capital and chair of the Quantum Gravity Institute, said during a panel discussion that he's been asked several times why Vancouver would host such an event or institute.

"Why Vancouver? Because we can," Lee said.

He told The Early Editionhost Stephen Quinnthat the potential of the work being done at the conference is limitless.

"I just look at what has happened over the last hundred years from quantum [mechanics] alone," Lee said.

"Who would imagine 100 years ago ... that suddenly, we would have these massive computing systems and the ability to do artificial intelligence? ... Or, you know, suddenly with medical imaging, we would be extending life spans of the average human by a quarter to a third.

"If we imagine even continued advances along those lines, you know, can we start solving aging?"

Lee said lofty ideas like time travel, interstellar space traversal and clean energy solutions were all on the table if a unified quantum gravity theory could be produced.

Hui, president and CEO of Concord Pacific, who studied physics as part of his undergraduate degree, said organizing the conference and launching the institute felt like fulfilling a childhood dream.

"I left the field to pursue other things, you know," he said in an interview.

He said it was like never making the high school hockey team and now getting to hang out in the Canucks' locker room.

Hui said he saw his role as philanthropic, adding he believed it would benefit Vancouver economically.

For Galison, he said as a non-local and the founder of the Black Hole Initiative at Harvard, he's happy to see more interdisciplinary support for exploring some of the biggest questions in science.

He called the conference an interesting event for bringing together people in technology and venture capitalism with scientists from varied fields, addingthat the launch of the institutewasmeaningful.

"It's also a kick-off event for something much bigger and longer-lasting."

Lee said he hopes the conference and institute leads to more Canadian PhDs and scientists gaining valuable work and insight from the distinguished.

As for the conference, Galison said it's an opportunity to explore where the theories overlap from different angles.

"One place they intersect is clearly at the beginning of the universe, early cosmology, because when energy is incredibly compressed, when you have enormous energy densities, you're at the limit where the bending of space and time creates so much energy that quantum effects come into play," he said.

The theory of quantum mechanics, introduced in the 1920s, entered a world already shaken by Albert Einstein's theory of relativity, which inspired responses not just from scientists but from poets and philosophers, he said.

"That these things are not compatible is really unnerving," Galison said.

Cracking the code for why isn't something that will happen in a moment, a week or a year, he added.

"There's a tremendous amount of work," he said. "It's more like building a cathedral than throwing up a bicycle shed."

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Quantum Computing Will Be Bigger Than the Discovery of Fire! – InvestorPlace

[Editors note: Quantum Computing Will Be Bigger Than the Discovery of Fire! was previously published in June 2022. It has since been updated to include the most relevant information available.]

Its commonly appreciated that the discovery of fire was the most profound revolution in human history. And yesterday, I read that a major director at Bank of America (BAC) thinks a technology that hardly anyone is talking about these days could be more critical for humankind than fire!

Thats about as bold of a claim as you could make when it comes to technological megatrends. If true, this tech could be the most promising and lucrative investment opportunity of anyones lifetime.

The directors name? Haim Israel, head of global thematic investing research at BofA.

In his words, this technology could create a revolution for humanity bigger than fire, bigger than the wheel.

What on Earth is Mr. Israel talking about?

Two words: Quantum Computing.

Ill start by saying that the underlying physics of this breakthrough quantum mechanics is highly complex. It would likely require over 500 pages to fully understand.

But, alas, heres my best job at making a Cliffs Notes version in 500 words instead.

For centuries, scientists have developed, tested, and validated the laws of the physical world, known as classical mechanics. These scientifically explain how and why things work, where they come from, so on and so forth.

But in 1897, J.J. Thomson discovered the electron. And he unveiled a new, subatomic world of super-small things that didnt obey the laws of classical mechanics at all. Instead, they obeyed their own set of rules, which have since become known as quantum mechanics.

The rules of quantum mechanics differ from that of classical mechanics in two very weird, almost-magical ways.

First, in classical mechanics, objects are in one place at one time. You are either at the store or at home, not both.

But in quantum mechanics, subatomic particles can theoretically exist in multiple places at once before theyre observed. A single subatomic particle can exist in point A and point B at the same time until we observe it. And at that point, it only exists at either point A or point B.

So, the true location of a subatomic particle is some combination of all its possible positions.

This is called quantum superposition.

Second, in classical mechanics, objects can only work with things that are also real. You cant use an imaginary friend to help move the couch. You need a real friend instead.

But in quantum mechanics, all those probabilistic states of subatomic particles are not independent. Theyre entangled. That is, if we know something about the probabilistic positioning of one subatomic particle, then we know something about the probabilistic positioning of another. That means these already super-complex particles can actually work together to create a super-complex ecosystem.

This is called quantum entanglement.

So, in short, subatomic particles can theoretically have multiple probabilistic states at once. And all those probabilistic states can work together again, all at once to accomplish some task.

Pretty wild, right?

It goes against everything classical mechanics had taught us about the world. It goes against common sense. But its true. Its real. And, now, for the first time ever, we are leaning how to harness this unique phenomenon to change everything about everything

This is why Mr. Israel is so excited about quantum computing. Its why he thinks it could be more revolutionary than the discovery of fire or the invention of the wheel.

I couldnt agree more.

Mark my words. Over the next few years, everything will change because of quantum mechanics. And some investors are going to make a lot of money.

The study of quantum theory has led to huge advancements over the past century. Thats especially true over the past decade. Scientists at leading tech companies have started to figure out how to harness the power of quantum mechanics to make a new generation of super quantum computers. And theyre infinitely faster and more powerful than even todays fastest supercomputers.

In Mr. Israels own words: By the end of this decade, the amount of calculations that we can make [on a quantum computer] will be more than the atoms in the visible universe.

Again, the physics behind quantum computers is highly complex. But once again, heres my Cliffs Notes version.

Todays computers are built on top of the laws of classical mechanics. That is, they store information on what are called bits, which can store data binarily as either 1 or 0.

But what if you could turn those classical bits into quantum bits qubits to leverage superpositioning to be both 1 and 0 stores at once?

Further, what if you could leverage entanglement and have all multi-state qubits work together to solve computationally taxing problems?

Theoretically, youd create a machine with so much computational power that it would make todays most advanced supercomputers seem ancient.

Thats exactly whats happening today.

Google has built a quantum computer thats about 158 million times faster than the worlds fastest supercomputer.

Thats not hyperbole. Thats a real number.

Imagine the possibilities behind a new set of quantum computers 158 million times faster than even todays fastest computers

Wed finally have the level of AI that you see in movies. The biggest limitation to AI today is the robustness of machine learning algorithms, which are constrained by supercomputing capacity. Expand that capacity, and you get infinitely improved machine learning algos and infinitely smarter AI.

We could eradicate disease. We already have tools like gene editing. But its effectiveness relies of the robustness of the underlying computing capacity to identify, target, insert, cut, and repair genes. Insert quantum computing capacity, and all that happens without error in seconds allowing us to fix anything about anyone.

We could finally have that million-mile EV. We can only improve batteries if we can test them. And we can only test them in the real world so much. Therefore, the key to unlocking a million-mile battery is through simulation. And the quickness and effectiveness of simulations rest upon the robustness of underlying computing capacity. Make that capacity 158 million times bigger, and cellular simulation will happen 158 million times faster.

The economic opportunities here are truly endless.

One issue I have with emerging technological breakthroughs is that theyre usually focused on solving tomorrows problems. And we need tools to solve todays problems.

But quantum computing doesnt have that focus. Instead, it could prove mission-critical in helping us solve todays problems.

Lets revisit the making of a million-mile EV.

Were amid a global energy crisis defined by soaring oil prices. As a result, were all paying $5-plus per gallon for gas. Thats unreal. And its hurting everyone.

Of course, the ultimate fix is for everyone to buy electric vehicles. But EVs are technologically limited today. On average, they max out at about 250 miles of driving range. And theyre also pretty expensive.

Quantum computing could change that. It could allow us to create a million-mile EV rather soon. And through material simulation and battery optimization modeling, itd also dramatically reduce the costs of EV manufacturing.

In other words, with the help of quantum computing, we could be just years away from $15,000 EVs that can drive up to 1,000 miles on a single charge.

Indeed, auto makers like Hyundai (HYMTF) and Volkswagen (VWAGY) are already using quantum computers to make next-gen high-performance, low-cost EVs. These are EVs that actually drive as far as your gas car and cost less than it, too!

And those are the vehicles that will change the world, not todays $70,000 Teslas or $100,000-plus Lucid (LCID) cars. The EVs that will change the world will drive 1,000-plus miles and cost less than $15,000.

Quantum computing is the key to making those EVs.

Alas, I repeat: Quantum computing isnt a science-fiction project that will help the world in 10 years. Its a breakthrough technology that can help solve the worlds problems today!

And the most pertinent application? Electric vehicles.

Quantum computing is the most underrated, most transformational technological breakthrough since the internet.

In fact, it may be bigger than the internet. As Mr. Israel said, it may bigger than the discovery of fire itself.

The first tangible, value-additive application of quantum computing technology electric vehicles.

We truly believe that quantum computing will meaningfully accelerate the EV Revolution. Over the next few years, it will help to develop new EVs that last forever and cost next to nothing.

Forget Tesla. Focus on the next wave of EV makers that will make these quantum-enabled cars.

Believe it or not, one of those companies is Apple (AAPL).

Yep. You read that right. The worlds largest company is reportedly preparing to launch an electric vehicle very soon. Given its expertise in creating home-run-hit hardware products, we think Apples EV will drive us into an electric future.

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Not 10X, 20X, or 30X 40X a potential investment that turns every $10,000 into $400,000.

Needless to say, its an opportunity that you need to hear about today.

On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.

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Quantum Computing Will Be Bigger Than the Discovery of Fire! - InvestorPlace

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String theory used to describe the expanding universe – Advanced Science News

We know that the universe is expanding, and our understanding of nature based on general relativity and the Standard Model of elementary particles is consistent with this observation. However, these theories of particles and their interactions break down when we try to apply them to the physical phenomena that occurred in the first moments following the Big Bang preventing us from reaching a complete understanding of the evolution of the universe.

Our theories fail because the temperature and density of matter just after the Big Bang were so high that a concept called quantum gravity is required to describe the physical processes that took place. The problem is that this theory requires a unification of general relativity and quantum mechanics. Though this has not yet been fully understood, there are some viable candidates for a theory of quantum gravity, such as string theory.

To address the problem of unknown quantum gravitational effects in the early universe, a team of theoretical physicists from Japan applied a string theory-inspired technique known as holographic duality. This allowed them to perform calculations using familiar methods of elementary particle physics rather than an impossibly complex computation usually required in quantum gravity applications.

The most difficult problem one encounters on the way to finding a correct theory of quantum gravity is a lack of experimental data. Fundamental interactions are usually studied with elementary particle accelerators, which smash together beams of particles moving at velocities close to the speed of light. From the velocities of the particles born in these collisions and the angles at which they leave, scientists can extract valuable information about their fundamental interactions.

The key issue here is that the gravitational effects in most elementary particle interactions are negligible (though not under the extreme conditions in the early universe!), and they cannot be measured using modern accelerators. For example, the gravitational attraction between two electrons is more than 42 orders of magnitude weaker than the electromagnetic repulsion between them. Because of this, studies of quantum gravity have so far been only theoretical.

For decades, the most promising approach to quantum gravity has been string theory, the main postulate of which is that elementary particles are not point-like, but are tiny, oscillating strings. Unique vibrational modes of these strings gives rise to a different elementary particle, such as electrons, quarks, and yet-to-be observed gravitons, which should mediate gravitational interactions similar to how photons mediate electromagnetic interactions.

Unfortunately, our current understanding of string theory is incomplete and doesnt allow us to study many quantum gravitational effects quantitatively.

Although string theory has not yet reached its full potential, research in this area has led to the development of many theoretical tools that can be used outside of it. The most radical and powerful, although not fully proven, is known as holographic duality or correspondence.

The holographic hypothesis claims that events inside a region of space that involve quantum gravity and are described by string theory can also be described by a gravity-free quantum theory defined on the surface of that region. The latter theory is sufficiently easier to deal with, and we have learned much about theories of this type by studying electromagnetic, weak, and strong interactions.

The existence of this duality means that for every measurable quantity in quantum gravitational theory there must be an analogue in the gravity-free alternative. The validity of holographic duality has been verified by hundreds of research papers through direct calculations of various quantities on both sides of the duality.

Since 1997, when the first version of holographic correspondence was proposed by Juan Maldacena, many more pairs of theories connected by this equivalence have been discovered and analyzed, but the rule that a higher-dimensional space includes gravity and a lower-dimensional one does not always remains satisfied.

Some of these theories of quantum gravity are known to be related to string theory, whereas the connection between the rest with strings has not yet been uncovered but is usually believed to exist.

An unfortunate feature of the holographic approach in studying quantum gravity in the real world is that in most known examples of the duality, the higher-dimensional theory mathematically describes quantum gravity in what is called anti-de Sitter space, which doesnt look like our expanding universe, and whose geometry corresponds to what mathematicians call de Sitter space.

The remarkable achievement of the new study is that the authors were able to find a non-gravitational theory equivalent to quantum gravity in a universe that is quite similar to our own. The most important difference is that it has only three dimensions two spatial directions and one time unlike our own universe, which is four-dimensional (three space dimensions and one time dimension).

Gravity in three dimensions is much simpler than in four, said Tadashi Takayanagi, a professor at the Yukawa Institute for Theoretical Physics and one of the authors of the study. However, we believe the basic mechanism of how the holography works in de Sitter space should not depend on the dimension.

The new theory is proposed as an equivalent to quantum gravity in a lower-dimensional expanding universe defined in one spatial and one temporal dimension, known as the Wess-Zumino-Witten model.

Although the three-dimensional universe they deal with is not exactly like ours, the authors think that their work is an important step towards understanding quantum gravity in the real world.

Since we do not know at all the basic mechanisms of how the holography in de Sitter spaces works, it is useful to start with constructing the most simple example, as we did in this work, said Takayanagi. At the same time, this helps us to verify whether a holographic duality exists for de Sitter spaces or not. Moreover, in our simple mode, we can take into account quantum corrections [to general relativity].

As is usual in this branch of theoretical physics, the scientists havent proven the duality because to do so, they would have to compute all possible physical quantities on both sides of the correspondence and compare the results. Instead, they computed some, and found an exact match from which they concluded that their guess was correct.

Most of the authors calculations ignored quantum effects on the gravitational side of duality and taking them into account will be the course of future work. If the scientists are successful in this, they plan to generalize their results and apply them to our four-dimensional universe.

If we can understand this question from our three-dimensional example, we hopewe can generalize the results to higher dimensions and finally challenge theproblem of explaining the emergence of our four-dimensional universe, concluded Takayanagi.

Reference: Yasuaki Hikida, et al., CFT duals of three-dimensional de Sitter gravity, Journal of High Energy Physics, (2022). DOI: 10.1007/JHEP05(2022)129

Image Credit: Johnson Martin Pixabay

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String theory used to describe the expanding universe - Advanced Science News

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We exist. What can that fact teach us about the Universe? – Big Think

For thousands of years, humans have pondered the meaning of our existence. From philosophers who debated whether their minds could be trusted to provide accurate interpretations of our reality to physicists whove attempted to interpret the weirder aspects of quantum physics and relativity, weve learned that some aspects of our Universe appear to be objectively true for everyone, while others are dependent on the actions and properties of the observer.

Although the scientific process, combined with our experiments and observations, have uncovered many of the fundamental physical laws and entities that govern our Universe, theres still much that remains unknown. However, just as Descartes was able to reason, I think, therefore I am, the fact of our existence the fact that we are has inevitable physical consequences for the Universe as well. Heres what the simple fact that we exist can teach us about the nature of our reality.

The gravitational behavior of the Earth around the Sun is not due to an invisible gravitational pull, but is better described by the Earth falling freely through curved space dominated by the Sun. The shortest distance between two points isnt a straight line, but rather a geodesic: a curved line thats defined by the gravitational deformation of spacetime. The laws of the Universe allow for, but do not mandate, the existence of intelligent observers.

To start with, the Universe has a set of governing rules, and weve been able to make some sense of at least some of them. We understand how gravity works at a continuous, non-quantum level: by matter and energy curving spacetime and by that curved spacetime dictating how matter and energy move through it. We know a large portion of the particles that exist (from the Standard Model) and how they interact through the three other fundamental forces, including at the quantum level. And we know that we exist, composed of those very same particles and obeying those same laws of nature.

Based on those facts, physicistBrandon Carterformulated two statements back in 1973 that seem like they must be true:

These two statements are known, today, as theWeak Anthropic Principle and the Strong Anthropic Principle, respectively. When used properly, they can enable us to draw incredibly powerful conclusions and constraints about what our Universe is like.

This chart of the particles and interactions detail how the particle of the Standard Model interact according to the three fundamental forces that Quantum Field Theory describes. When gravity is added into the mix, we obtain the observable Universe that we see, with the laws, parameters, and constants that we know of governing it. Mysteries, such as dark matter and dark energy, still remain.

Think about these facts, all together. The Universe has parameters, constants, and laws that govern it. We exist within this Universe. Therefore, the sum total of everything that determines how the Universe works must allow for creatures like us to come into existence within it.

Travel the Universe with astrophysicist Ethan Siegel. Subscribers will get the newsletter every Saturday. All aboard!

This seems like a set of simple, self-evident facts. If the Universe were such that it was physically impossible for creatures like us to exist, then we would never have come into existence. If the Universe had properties that were incompatible with any form of intelligent life existing, then no observers like us could have come into existence.

But we are here. We exist. And therefore, our Universe does exist with such properties that an intelligent observer could have possibly evolved within it. The fact that we are here and that we actively engage in the act of observing the Universe implies this: the Universe is wired in such a way that our existence is possible.

That is the essence of the Anthropic Principle in general.

This long-exposure image captures a number of bright stars, star-forming regions, and the plane of the Milky Way above the southern hemispheres ALMA observatory. This is literally one of the most powerful ways we have of being observers in the Universe, and yet its not clear what role, if any, being an intelligent observer has on affecting the Universe itself.

It doesnt seem like this statement should be controversial. It also doesnt seem like it teaches us very much, at least on the surface. But if we start to look at a variety of physical puzzles that the Universe has presented to us over the years, we start to see just how powerful an idea it can be for scientific discovery.

The fact that we are observers made of atoms and that many of those atoms are carbon atoms tells us that the Universe must have created carbon in some fashion. The light elements, like hydrogen, helium, and their various isotopes, were formed in the early stages of the Big Bang. The heavier elements are formed in stars of various types throughout their lives.

But in order to form those heavier elements, there must be some way to form carbon: the sixth element in the periodic table. Carbon, in its most common form, has 6 protons and 6 neutrons in its nucleus. If its formed in stars, there must be some way to form it from the other elements that already exist in stars: elements like hydrogen and helium. Unfortunately, the numbers didnt work out.

This cutaway showcases the various regions of the surface and interior of the Sun, including the core, which is the only location where nuclear fusion occurs. As time goes on, the helium-rich core will contract and heat up, enabling the fusion of helium into carbon. However, additional nuclear states for a carbon-12 nucleus beyond the ground state is required for the necessary reactions to occur.

We know the mass of carbon-12, and the masses of the helium and hydrogen nuclei that are so abundant in the stars. The easiest way to get there would be to take three independent helium-4 nuclei and fuse them all together simultaneously. Helium-4 has two protons and two neutrons in its nucleus, so its easy to imagine that fusing three of them together would give you carbon-12, and hence could create the carbon we need in our Universe.

But three helium nuclei, combined, are too massive to efficiently produce carbon-12. When two helium-4 nuclei fuse together, they produce beryllium-8 for just ~10-16s, before it decays back to two helium nuclei. Although occasionally a third helium-4 nucleus could get in there if the temperatures are high enough, the energies are all wrong for producing carbon-12; theres too much energy. The reaction just wouldnt give us enough of the carbon our Universe needs.

Fortunately, physicist Fred Hoyle understood how the anthropic principle worked, and realized that the Universe needed a pathway to make carbon from helium. He theorized that if there were an excited state of the carbon-12 nucleus, at a higher energy that was closer to the rest mass of three helium-4 nuclei combined, the reaction could occur. This nuclear state, known asthe Hoyle State, was discovered just five years later by nuclear physicist Willie Fowler, who also discovered thetriple-alpha processthat formed it, just as Hoyle predicted.

The prediction of the Hoyle State and the discovery of the triple-alpha process is perhaps the most stunningly successful use of anthropic reasoning in scientific history. This process is what explains the creation of the majority of carbon thats found in our modern-day Universe.

Another time the anthropic principle was successfully applied was to the puzzle of understanding what the vacuum energy of the Universe is. In quantum field theory, you can try to calculate what the energy of empty space is: known as the zero-point energy of space. If you were to remove all the particles and external fields from a region of space no masses, no charges, no light, no radiation, no gravitational waves, no curved spacetime, etc. youd be left with empty space.

But that empty space would still contain the laws of physics in them, which means that it would still contain the fluctuating quantum fields that exist everywhere throughout the Universe. If we try and calculate what the energy density of that empty space is, we get an absurd value thats far too high: so large that it would cause the Universe to have recollapsed just a tiny fraction of a second after the Big Bang. Clearly, the answer we get from doing that calculation is wrong.

Even in the vacuum of empty space, devoid of masses, charges, curved space, and any external fields, the laws of nature and the quantum fields underlying them still exist. If you calculate the lowest-energy state, you may find that it is not exactly zero; the zero-point (or vacuum) energy of the Universe appears to be positive and finite, although small.

So whats the right value, then? Although we still dont know how to calculate it, today, physicist Stephen Weinberg calculated an upper limit on what it could possibly be back in 1987, making astonishing use of the anthropic principle. The energy of empty space determines how quickly the Universe expands or contracts, even apart from all the matter and radiation within it. If that expansion (or contraction) rate is too high, we could never form life, planets, stars, or even molecules and atoms within the Universe.

If we use the fact that our Universe has galaxies, stars, planets, and even human beings on one of them, we can place extraordinary limits on how much vacuum energy could possibly be in the Universe. Weinbergs 1987 calculation demonstrated that it must be at least 118 orders of magnitude that is, a factor of 10118 smaller than the value obtained from quantum field theory calculations.

When dark energy was empirically discovered in 1998, we got to measure that number for the first time: it was 120 orders of magnitude (a factor of 10120) smaller than the nave prediction. Even without the necessary tools to perform the calculations needed to obtain the answer, the anthropic principle got us remarkably close.

The string landscape might be a fascinating idea thats full of theoretical potential, but it cannot explain why the value of such a finely-tuned parameter like the cosmological constant, the initial expansion rate, or the total energy density have the values that they do. Still, understanding why this value takes on the particular one it does is a fine-tuning question that most scientists assume has a physically-motivated answer.

Just two years ago, in 2020, theoretical physicistJohn Barrowdied, a victim of colon cancer. Back in 1986, he cowrote a prominent book with Frank Tipler,The Anthropic Cosmological Principle. In that book, they redefined the anthropic principle as the following two statements:

Although these statements might seem equivalent on the surface to the prior ones, they add up to something very different. Instead of contending, as Carter originally did, that Our existence, as observers, means that the Universes laws must allow observers to possibly exist, we now have The Universe must allow carbon-based, intelligent life, and that hypothetical Universes where that life does not develop are not permitted.

The existence of complex, carbon-based molecules in star forming regions is interesting, but isnt anthropically demanded. Here, glycoaldehydes, an example of simple sugars, are illustrated in a location corresponding to where they were detected in an interstellar gas cloud.

This highly influential (and controversial) reframing of the anthropic principle takes us from demanding that the Universe must not make it impossible for observers to exist, because we do, to mandating that a Universe where intelligent observers do not arise cannot be allowed. If that sounds like an enormous leap of faith that is not supported by either science or reason, youre not alone. In their book, Barrow and Tipler go even further, offering the following alternative interpretations of the anthropic princple:

Every one of these scenarios might present a fascinating feast for the imagination, but they all represent incredibly speculative leaps in logic, and make assumptions about cosmic purpose and the relationship between observers and reality that arent necessarily true.

We can certainly imagine an arbitrarily large number of possible configurations for our Universe and the laws and constants that govern it, and we can be certain that our Universe is one of the ones that admit the existence of intelligent observers. However, neither this nor any other anthropic argument can tell us anything meaningful about entities that are not in some way tied to physical observables.

You dont have to look far to find claims that the anthropic principle does any or all of the following: supports a multiverse, provides evidence for the string landscape, requires we have a Jupiter-like gas giant to protect Earth from asteroids, and to explain why Earth is ~26,000 light-years away from the galactic center. In other words, people are misusing the anthropic principle to argue that the Universe must be the way it is because we exist with the properties that we have. Thats not only untrue, but its not even what the anthropic principle allows us to conclude.

Whats true is that we do exist, the laws of nature exist, and some of the great cosmic unknowns can be legitimately constrained by the facts of our existence. In that sense and perhaps, in that sense alone the anthropic principle has scientific value. But as soon as we start speculating about relationships, causes, or phenomena that we cannot detect or measure, we leave science behind.

That isnt to say that such speculations arent intellectually interesting, but engaging in them in no way improves our understanding of the Universe the way that Hoyles or Weinbergs anthropic predictions did. The simple fact of our existence can guide us toward understanding what certain parameters that govern our Universe must actually be, but only if we stick to whats scientifically measurable, at least in principle.

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We exist. What can that fact teach us about the Universe? - Big Think

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