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Far from being anti-religious, faith and spirituality run deep in Black Lives Matter – The Conversation US

Black Lives Matters (BLM) has been portrayed by its detractors as many things: Marxist, radical, anti-American. Added to this growing list of charges is that it is either irreligious or doing religion wrong.

In late July, for instance, conservative commentator Andrew Sullivan tweeted that BLM was incompatible with Christianity.

He isnt alone in that belief. Despite receiving the backing of diverse faith leaders and groups, BLM has been attacked by sections of the religious right. One evangelical institution felt compelled to issue a statement warning Christians about the movements Godless agenda. Other evangelicals have gone further, accusing BLM founders of being witches and operating in the demonic realm.

Joining conservative Christians are some self-proclaimed liberals and atheists who have also denounced BLM as a social movement that functions like acult or pseudo religion.

As scholars of religion, we believe such views fail to acknowledge let alone engage with the rich spiritual and religious pluralism of Black Lives Matter. For the past few years, we have been observing the way the movement and affiliated organizations express faith and spirituality.

Since 2015 we have interviewed BLM leaders and organizers as well as Buddhist leaders inspired by the movement. What we found was that BLM was not only a movement seeking radical political reform, but a spiritual movement seeking to heal and empower whileinspiring other religious allies seeking inclusivity.

Black Lives Matter was born from a love letter.

On July 13, 2013 the day of the acquittal of George Zimmerman, who had killed an unarmed black teenage named Trayvon Martin soon-to-be BLM co-founder Alicia Garza, posted A Love Letter to Black People on Facebook. She declared:

We dont deserve to be killed with impunity. We need to love ourselves and fight for a world where black lives matter. Black people, I love you. I love us. We matter. Our lives matter.

Since its inception, BLM organizers have expressed their founding spirit of love through an emphasis on spiritual healing, principles, and practices in their racial justice work.

BLM leaders, such as co-founder Patrisse Cullors, are deeply committed to incorporating spiritual leadership. Cullors grew up as a Jehovahs Witness, and later became ordained in If, a west African Yoruba religion. Drawing on Native American, Buddhist and mindfulness traditions, her syncretic spiritual practice is fundamental to her work. As Cullors explained to us, The fight to save your life is a spiritual fight.

Theologian Tricia Hersey, known as the Nap Bishop, a nod to her Divinity degree and her work advocating for rest as a form of resistance, founded the BLM affiliated organization, The Nap Ministry in 2016.

In an interview with Cullors, Hersey said she considers human bodies as sites of liberation that connect Black Americans to the creator, ancestors, and universe. She describes rest as a spiritual practice for community healing and resistance and naps as healing portals. Hersey connects this belief to her upbringing in the Black Pentecostal Church of God in Christ, where, she explained, I was able to see the body being a vehicle for spirit.

The movement is committed to spiritual principles, such as healing justice which uses a range of holistic approaches to address trauma and oppression by centering emotional and spiritual well-being and transformative justice which assists with creating processes to repair harm without violence.

Transformative justice, central to the beliefs of many in the BLM movement, is a philosophic approach to peacemaking. With roots in the Quaker tradition, it approaches harms committed as an opportunity for education. Crime is taken to be a community problem to be solved through mutual understanding, as often seen in work to decriminalize sex work and drug addiction.

BLM affiliated organizer Cara Page, who coined the term healing justice, did so in response to watching decades of activists commit themselves completely to social justice causes to the detriment of their physical and mental health. She advocates that movements themselves have to be healing, or theres no point to them.

BLM-affiliated organizations utilize spiritual tools such as meditation, reiki, acupuncture, plant medicine, chanting, and prayer, along with other African and Indigenous spiritualities to connect and care for those directly impacted by state violence and white supremacy.

For instance, Dignity and Power Now or DPN, an organization founded by Cullors in Los Angeles in 2012, hosts almost weekly wellness clinics on Sundays, often referred to as church by attendees.

On July 26, 2020, they held a virtual event called Calm-Unity, to remind people that without healing there is no justice. Classes included yoga, meditation, African dance, Chinese medicine, and altar making.

In interviews, movement leaders described honoring their body, mind and soul as an act of resilience. They see themselves as inheritors of the spiritual duty to fight for racial justice, following in the footsteps of freedom fighters like abolitionist Harriet Tubman.

BLM leaders often invoke the names of abolitionist ancestors in a ceremony used at the beginning of protests. In fact, protests often contain many spiritual purification, protection and healing practices including the burning of sage, the practice of wearing white and the creation of sacred sites and altars at locations of mourning.

BLMs rich spiritual expressions have also inspired and transformed many American faith leaders. Black evangelical leader Barbara Salter McNeil credits BLM activists in Ferguson as changing the Christian church by showing racism must be tackled structurally and not just as individual sin.

U.S. Buddhist leaders presented a statement on racial justice to the White House in which they shared they were inspired by the courage and leadership of Black Lives Matter. Jewish, Muslim and many other religious organizations, have incorporated BLM principles to make their communities more inclusive and justice oriented.

As University of Arizona scholar Erika Gault observes, The Black church is not the only religious well from which Black movements have historically drawn, and with Black Lives Matter, We are actually seeing more religion, not less.

Attempts to erase the rich religious landscape of Black Lives Matter by both conservative and liberal voices continues a long history of denouncing Black spirituality as inauthentic and threatening.

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The history of white supremacy, often enacted within institutional Christianity, has often vilified and criminalized Indigenous and African beliefs, promoted the idea that Black people are divinely destined to servitude, and subjected communities to forced conversions.

As Cullors said to us in response to current attacks against BLM as demonic, For centuries, the way we are allowed to commune with the divine has been policed; in the movement for Black lives, we believe that all connections to the creator are sacred and essential.

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Nvidia’s Arm takeover sparks concern in the UK, co-founder says it’s ‘a disaster’ – CNBC

SAM YEH | AFP | Getty Images

LONDON Arm co-founder Hermann Hauser has said if would be a disaster if U.S. rival Nvidia buys the British company he helped to build.

Nvidia announced Sunday that it intends to buy the Cambridge-headquartered chip designer off Japan's SoftBank for $40 billion, saying it would create the "world's premier computing company."

However, speaking to BBC Radio 4 on Monday, Hauser said: "I think it's an absolute disaster for Cambridge, the U.K., and Europe."

Arm is widely regarded as the jewel in the crown of the British tech industry. Its chips power most of the world's smartphones, as well as many other devices.

Despite some opposition, the company was acquired by SoftBank in 2016 for 19 billion ($24 billion) on the condition that it remained in the British city of Cambridge.

Hauser said thousands of Arm employees would lose their jobs in Cambridge, Manchester, Belfast, and Warwick if Nvidia "inevitably" decided to move Arm's headquarters to the U.S. and make the company a division of Nvidia.

Nvidia would "destroy" Arm's business model, which involves licensing chip designs to around 500 other companies including several that compete directly with Nvidia, Hauser said, adding that the new deal will create a monopoly.

Nvidia was not immediately available for comment when contacted by CNBC Monday. However, this weekend it said that Arm could remain headquartered in Cambridge under the deal. It added that it will create more jobs in the country and will build a new Nvidia-powered AI supercomputer.

Arm co-founder Hermann Hauser.

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Hauser said the commitments were meaningless unless they're legally enforceable.

SoftBank Chief Executive Masayoshi Son said in a statement that "Nvidia is the perfect partner for Arm."

While Simon Segars, Arm's chief executive, said in a statement:"Arm and Nvidia share a vision and passion that ubiquitous, energy-efficient computing will help address the world's most pressing issues from climate change to healthcare, from agriculture to education."

He added: "By bringing together the technical strengths of our two companies we can accelerate our progress and create new solutions that will enable a global ecosystem of innovators."

However, according to Hauser, the most important and concerning issue is one of economic sovereignty.

"If Arm becomes a U.S. company, it falls under the CFIUS (Committee on Foreign Investment in the United States) regulations," he said. "If hundreds of U.K. companies that incorporate Arm's (chips) in their products want to sell it or export it to anywhere in the world, including China, which is a major market, this decision on whether they're allowed to export it will be made in the White House and not in Downing Street," he said. "I think this is terrible."

He urged the U.K. government to step in, block the deal, and help to take Arm public on the London Stock Exchange, which is what SoftBank initially planned to do.

Hauser has written an open letter to U.K. Prime Minister Boris Johnson and published it on a website called SaveArm.

The opposition party in the U.K. raised concerns about the deal last Friday, with Shadow Business Secretary Ed Miliband saying,"the government is doing nothing in the face of the risk of the company being swallowed up by Nvidia."

At the time, a government spokesperson said that Downing Street monitors proposed acquisitions closely. "Where we feel a takeover may represent a threat to the U.K., the government will not hesitate to investigate the matter further, which could lead to conditions on the deal," they said.

The U.K. has been on a mission to build an Apple-sized company of its own for years, but has had little success as many of its most promising tech companies have been sold to companies in the U.S. and China.One of the most notable examples in recent years is London AI lab DeepMind, which was acquired by Google in 2016 for around $600 million. Today, DeepMind is widely regarded as one of the world leaders in AI research.

Neil Lawrence, Amazon's former director of machine learning in Cambridge, told CNBC:"Arm is the only large U.K. tech company that is an undisputed world leader. The majority of the world's computer chips are made to their designs."

"Nvidia's original business was graphics, but their chips also happened to have the right architecture for the current generation of AI algorithms. They've capitalized well on that. But with so much U.K. focus on how we make ourselves a world leading economy after our departure from the European Union, it would be surprising if the deal is waved through without any form of review," he added.

Shares in Nvidia climbed over 5% in pre-market trade in New York, while shares in SoftBank rose 8.9% in Tokyo.

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The Guardians GPT-3-written article misleads readers about AI. Heres why. – TechTalks

An article allegedly written by OpenAIs GPT-3 in The Guardian misleads readers about advances in artificial intelligence

This article is part ofDemystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.

Last week, The Guardian ran an op-ed that made a lot of noise. Titled, A robot wrote this entire article. Are you scared yet, human? the article was allegedly written by GPT-3, OpenAIs massive language model that has made a lot of noise in the past month.

Predictably, an article written by an artificial intelligence algorithm and aimed at convincing us humans that robots come in peace was bound to create a lot of hype. And thats exactly what happened. Social media networks went abuzz with panic posts about AI writing better than humans, robots tricking us into trusting them, and other apocalyptic predictions. According to The Guardians page, the article was shared over 58,000 times as of this writing, which means it has probably been viewed hundreds of thousands of times.

But after reading through the article and the postscript, where The Guardians editorial staff explain how GPT-3 wrote the piece, I didnt even find the discussion about robots and humans relevant.

The key takeaway, however, was that mainstream media is still very bad at presenting advances in AI, and that opportunistic human beings are very clever at turning socially sensitive issues into money-making opportunities. The Guardian probably made a good deal of cash out of this article, a lot more than they spent on editing the AI-generated text.

And they mislead a lot of readers.

The first thing to understand before even going into the content of article is what GPT-3 is. Heres how The Guardian defined it in the postscript: GPT-3 is a cutting edge language model that uses machine learning to produce human like text. It takes in a prompt, and attempts to complete it.

That is basically correct. But there are a few holes. What do they mean by human like text? In all fairness, GPT-3 is a manifestation of how far advances in natural language processing have come.

One of the key challenges in artificial intelligence language generators is maintaining coherence over long spans of text. GPT-3s predecessors, including OpenAIs GPT-2, started to make illogical references and lost consistency after a few sentences. GPT-3 surpasses everything weve seen so far, and in many cases remains on-topic over several paragraphs of text.

But fundamentally, GPT-3 doesnt bring anything new to the table. It is a deep learning model composed of a very huge transformer, a type of artificial neural network that is especially good at processing and generating sequences.

Neural networks come in many different flavors, but at their core, they are all mathematical engines that try to find statistical representations in data.

When you train a deep learning model, it tunes the parameters of its neural network to capture the recurring patterns within the training examples. After that, you provide it with an input, and it tries to make a prediction. This prediction can be a class (e.g., whether an image contains a cat, dog, or shark), a single value (e.g., the price of a house), or a sequence (e.g., the letters and words that complete a prompt).

Neural networks are usually measured in the number of layers and parameters they contain. GPT-3 is composed of 175 billion parameters, three orders of magnitude larger than GPT-2. It was also trained on 450 gigabytes of text, at least ten times that of its smaller predecessor. And experience has so far shown that increasing the size of neural networks and their training datasets tends to improve their performance by increments.

This is why GPT-3 is so good at churning out coherent text. But does it really understand what it is saying, or is it just a prediction machine that is finding clever ways to stitch together text it has previously seen during its training? Evidence shows that it is more likely to be the latter.

The GPT-3 op-ed argued that humans should not fear robots, that AI comes in peace, that it has no intention to destroy humanity, and so on. Heres an excerpt from the article:

For starters, I have no desire to wipe out humans. In fact, I do not have the slightest interest in harming you in any way. Eradicating humanity seems like a rather useless endeavor to me.

This suggests that GPT-3 knows what it means to wipe out, eradicate, and at the very least harm humans. It should know about life and health constraints, survival, limited resources, and much more.

But a series of experiments by Gary Marcus, cognitive scientist and AI researcher, and Ernest Davis, computer science professor at New York University, show that GPT-3 cant make sense of the basics of how the world works, let alone understand what it means to wipe out humanity. It thinks that drinking grape juice will kill you, you need to saw off a door to get a table inside a room, and if your clothes are at the dry cleaner, you have a lot of clothes.

All GPT-3 really has is a tunnel-vision understanding of how words relate to one another; it does not, from all those words, ever infer anything about the blooming, buzzing world, Marcus and Davis write. It learns correlations between words, and nothing more.

As you delve deeper into The Guardians GPT-3 written article, youll find many references to more abstract concepts that require rich understanding of life and society, such as serving humans, being powerful and evil, and much more. How does an AI that thinks you should wear a bathing suit to court thinks it can serve humans in any meaningful way?

GPT-3 also talks about feedback on its previous articles and frustration about its previous op-eds having been killed by publications. These would all appear impressive to someone who doesnt know how todays narrow AI works. But the reality is, like DeepMinds AlphaGo, GPT-3 neither enjoys nor appreciates feedback from readers and editors, at least not in the way humans do.

Even if GPT-3 had singlehandedly written all this article (well get to this in a bit), it can at most be considered a good word spinner, a machine that rehashes what it has seen before in an amusing way. It shows the impressive feats large deep learning models can perform, but its not even close to what we would expect from an AI that understands language.

In the postscript of the article, The Guardians staff explain that to write the article, they had given GPT-3 a prompt and intro and told to generate a 500-word op-ed. They ran the query eight times and used the AIs output to put together the complete article, which is a little over 1,100 words.

The Guardian could have just run one of the essays in its entirety. However, we chose instead to pick the best parts of each, in order to capture the different styles and registers of the AI, The Guardians staff write, after which they add, Editing GPT-3s op-ed was no different to editing a human op-ed. We cut lines and paragraphs, and rearranged the order of them in some places. Overall, it took less time to edit than many human op-eds.

In other words, they cherry-picked their article from 4,000 words worth of AI output. That, in my opinion, is very questionable. Ive worked with many publications, and none of them have ever asked me to submit eight different versions of my article and let them choose the best parts. They just reject it.

But I nonetheless find the entire process amusing. Someone at The Guardian came up with an idea that would get a lot of impressions and generate a lot of ad revenue. Then, a human came up with a super-click bait title and an awe-inspiring intro. Finally, the staff used GPT-3 like an advanced search engine to generate some text from its corpus, and the editor(s) used the output to put together an article that would create discussion across social media.

In terms of educating the public about advances in artificial intelligence, The Guardians article has zero value. But it perfectly shows how humans and AI can team up to create entertaining and moneymaking BS.

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The Guardians GPT-3-written article misleads readers about AI. Heres why. - TechTalks

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What Is Yoga Nidra? Health Essentials from Cleveland Clinic – Health Essentials from Cleveland Clinic

So, flowing and holding poses in a heated room isnt your thing.

Cleveland Clinic is a non-profit academic medical center. Advertising on our site helps support our mission. We do not endorse non-Cleveland Clinic products or services.Policy

Fair enough.

But dont give up on yoga quite yet. Did you know that theres a style of yoga that just involves relaxing on a mat, blanket or even your bed?

Interested now? Well keep going.

And the best part about this style of yoga is that a 45-minute session could leave you feeling like you indulged in a peaceful three-hour nap.

If youre ready for an easy, pose-free way to slow down and recover from the stressors in your life, read on to discover how yoga nidra could be the answer.

Yoga nidra involves slowing down and chilling out. So does meditation. While some people tend to lump them together, they really are two different practices.

Yoga nidra is like meditation, but yet its not, says yoga therapist and yoga program manager, Judi Bar. There are overlaps, but there also are key differences. With yoga nidra, you are lying down and the goal is to move into a deep state of conscious awareness sleep, which is a deeper state of relaxation with awareness. This state involves moving from consciousness while awake to dreaming and then to not-dreaming while remaining awake going past the unconscious to the conscious. Bar says that this practice is guided like some meditation practices, but its very structured.

With meditation, youre sitting and in a waking state of consciousness while focusing the mind and allowing thoughts to come and go. Meditation makes it possible for us to get to the theta state the state we go through to get to the delta state, which is the place of the deepest sleep cycle. The delta state is a deep healing state. Thats where were trying to get through yoga nidra. In this state, the body and mind rest and the consciousness is awake.

Bar says that yoga nidra works with the autonomic nervous system. The autonomic nervous system regulates processes of the body that take place without a conscious effort (heartbeat, breathing, digestion and blood flow). This system also includes the sympathetic and parasympathetic nervous systems.

Meditation helps us calm the sympathetic nervous system; mainly, our fight-or-flight response, explains Bar.We do a meditation practice to basically calm the sympathetic, or fight-or-flight and activate the parasympathetic more. Theres such a benefit when those are balanced overall for immunity, digestion and stress management. But in this deeper relaxation, the pineal gland is activated and that releases the hormone melatonin.

Melatonin is a powerful antioxidant. It can also help manage immune function, blood pressure, cortisol levels and induce restful sleep.

A recent study showed that while meditation and yoga nidra were both effective in reducing anxiety and stress, yoga nidra seemed to be more effective in reducing anxiety. The study also suggested that yoga nidra can be a useful tool in reducing both cognitive and physiological symptoms of anxiety.

Some yoga studios offer yoga nidra, but you can also do it at home with the help of YouTube or a meditation app. You dont need fancy equipment either. You can lie flat on your back on a yoga mat or a blanket with a bolster or pillow supporting your lower back, spine and your head. You can even put a blanket or pillow under your knees.

Bar says there are 10 stages of a yoga nidra practice. These steps are outlined by Richard Miller in his 10 Stages of Yoga Nidra.

While yoga nidra might seem much easier than traditional yoga, Bar says you still have to practice, especially if youre not used to meditation or quieting your mind. She recommends practicing away from distractions and in a darker room. You can use a sleep mask to block out light if you need to. Bar also recommends covering up with a blanket since the body tends to cool down when its at rest.

If lying on the floor for a while wouldnt be comfortable for you, you can practice yoga nidra in a recliner or even in bed. And you dont have to start with a long session. Start with 15 or 20 minutes and work your way up. You also dont have to do yoga nidra in the middle of the day. A nighttime practice can help you sleep tight through most of the night.

And like with most things, dont give up if you struggle with your first session. Quieting your mind and not doing anything is much harder than you think. So give yoga nidra a few tries. Youll get the hang of it in no time especially when your mind and body need time to rest and recover.

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Hybrid lightmatter particles offer tantalising new way to control chemistry – Chemistry World

People thought what we did was totally wacky, recalls Thomas Ebbesen from the University of Strasbourg in France. When we tried to submit [our 2012 Angewandte Chemie] paper,1 there was one referee report that was very short and simply said: This is not science, this is science fiction.

For many, Ebbesens study might indeed sound like make-believe. His team showed it could change the rate and yield of a photoisomerisation reaction by instead of carrying it out in a beaker putting it in a small space between two mirrors. The space contained no chemical catalyst, nothing obvious that might make this possible. What the researchers did is tap into the power of the vacuum field, a weird quantum mechanical soup that surrounds everything.

2012 was an eye-opener for everyone, says Felipe Herrera who leads a molecular quantum technology group at the University of Santiago, Chile. Nobody believed this, and people spent maybe two or three years until they could reproduce the results.

Although vacuum-field catalysis is still in its infancy and doesnt have any practical applications yet, it could bring catalyst-free catalysis, ultra-selective carbon dioxide reduction and new photosensitisers. It might become a powerful tool to steer chemical reactions akin to photocatalysis. I think this field is going to have far-reaching implications, says Herrera.

It is the view of modern physics that there is no such thing as truly empty space, wrote physicist Brian Skinner from Ohio State University, US, on his blog over a decade ago. Physicists discovered that the universe is filled with an energetic soup, boiling and bubbling with particles that appear as fast as they disappear. Although this almost sounds like a ridiculous return to the long-discarded aether theory, experimental results like the Casimir effect have long since established the vacuum fields existence.

But what has been firmly in the realm of physics is now starting to interest chemists, who hope to one day catalyse reactions with this vacuum field. They do this by creating polaritons, hybrid particles that are part light, part matter. They form even in the absence of light when molecules strongly interact with the so-called virtual photons spontaneously thrown up by the vacuum field.

Creating polaritons out of light and matter is not unlike creating a molecule out of two atoms, Herrera explains. Bring two atoms close enough together and they form a molecule, a new entity with new orbitals, and new chemical properties. Similarly, polaritons often have dramatically different reactivities to their parent molecules so dramatic in fact that they could be likened to a new state of matter.

Although a small field, it has seen an uptick in attention from the scientific community. According to Web of Science, the number of studies containing the keyword molecular polariton has doubled, rising from less than 25 in 2017 to more than 50 in 2019. Since the start of the Covid-19 lockdown, around 200 scientists have been attending weekly webinars on polariton chemistry hosted by researchers at the University of California San Diego, US.

I think this field will open many minds, especially among experimental chemistry colleagues, says Herrera. Thats why I like this field so much, because its a bridge between maybe 50 or 60 years of quantum optics and perhaps 100 years of physical chemistry.

Making molecules interact with the vacuum field is as easy as putting them in a cavity. Simply put, optical cavities consist of two mirrors facing each other and separated by only a few nanometres in some cases. Cavities are a major component of lasers where they form a resonator for light waves. But in the dark, they can be used to create polaritons. Free space is infinite and vacuum field fluctuations are very tiny, which is why we dont see strong coupling in free space, Herrera explains. If you confine the field into tiny spaces, then these vacuum fluctuations are very large.

The dream would be to have super selective chemical protocols using cavities

Joel Yuen-Zhou,University of California San Diego

The cavitys size dictates the wavelength of the virtual photons that can live inside it. Matching this wavelength to be resonant with a molecules bond vibration or an electronic transition creates the conditions for lightmatter mixing, forming molecular polaritons.

An experiment to create polaritonic states might seem surprisingly crude: silver-coated glass slides serve as mirrors sandwiching a layer of target molecules. The setup is held together with screws, so the cavitys resonance frequency can be fine-tuned by minutely changing the mirror-to-mirror distance with a screwdriver.

Before 2012, physicists had modified molecules optical properties like light emission rates in this way. But Ebbesens team showed for the first time that sticking molecules inside a cavity can also alter their chemical properties. It was a proof of concept, and other studies conducted since hinted at the tantalising prospect of controlling chemistry in an entirely new way. It was revolutionary, certainly challenging how we think about chemical reactions, says Wei Xiong who works on ultrafast spectroscopy at the University of California San Diego in the US.

Although synthetic chemists might not see cavity catalysts in the catalogues of their favourite chemicals suppliers anytime soon, there has been progress in the field. In a preprint published in 2018, a team around Hidefumi Hiura from Japans NEC Corporation reported a 10,000-fold increase in the rate of ammonia borane hydrolysis when it was put inside a cavity containing water polaritons.2 Last year, the groups of Ebbesen and Strasbourg colleague Joseph Moran showed how coupling to the vacuum field changes the product ratio in a reaction that can produce two different products.3 And earlier this year, scientists led by Kenji Hirai and Hiroshi Ujii from Hokkaido University, Japan, tuned a cavity to the carbonyl stretching motion of ketones and aldehydes, slowing down the rate of a Prins cyclisation by up to 70%.4

People who learn quantum electrodynamics dont often sit in advanced organic chemistry classes and vice versa

Prineha Narang, Harvard University

How far could we push these changes? wonders computational materials scientist Prineha Narang from Harvard University, US. Could we have something that is completely selective to one product and shuts off all the other products, in particular for reactions that are of technological relevance? Carbon dioxide reduction would be one of those reactions, she adds.

While polaritonic chemistry might not become the next big thing for industrial synthesis, flow setups that funnel reagents through a cavity could provide a solution to scaling up reactions. I think it would be very nice to see controlling chemistry of triplet states, suggest Herrera. There are many photosensitisers that are used in industry that rely on electrons becoming unpaired.

The dream would be to have super selective chemical protocols using cavities, says Joel Yuen-Zhou who works on polariton chemistry at the University of California San Diego, US. This is still under development, but it might be the case that with appropriate photonic architectures, this will be possible.

However, so far, researchers havent been able to show that vacuum-field catalysis can do reactions that are impossible or hard to do with other types of chemistry. This is what we would love to demonstrate, says Ebbesen. But for the moment, were trying to understand the underlying mechanism of why some reactions are enhanced and some reactions are slowed down.

For the most part, scientists still dont understand the microscopic mechanism underlying vacuum-field catalysis. When molecules sit inside a cavity, only a small fraction less than 1% are actually occupying polaritonic states. The rest are in dark states, which can be likened to non-bonding orbitals. How exactly macroscopic changes happen with most molecules remaining dark is still a mystery.

Sometimes the evidence is confusing or contradictory, says Herrera. The mechanism that colleagues conclude in one paper doesnt work for a very similar molecule in another paper. Initially, researchers tried to reason that polaritons unpredictable behaviour was due to energetic variations like changes in reaction barrier.

However, first theoretical5 and then experimental6 evidence like the fact that like polar bonds are more strongly influenced than non-polar ones now point to vibrational symmetry as the key to solving the dark state paradox. Vibrational modes can be naturally self-excited or de-excited by the vacuum field depending on their dipolar symmetry, explains Herrera though how this links to reaction rate changes remains unclear.

A model that reproduces let alone predicts how different compounds behave is still missing. What scientists are after is a set of rules not unlike the WoodwardHoffman rules: something simple that nevertheless reflects the complexity of the underlying quantum mechanics.

Most reactions studied so far are slowed down by cavities rather than accelerated not something chemists usually look for in a catalyst. But why this happens and how they can be speeded up remain open questions, says Xiong. Only if we can understand what knobs we need to turn, we can control the selectivity, he adds.

Still, the prospect of doing reactions by simply putting reagents between two mirrors remains intriguing. Whether this is going to be a universal tool or not I think, as of now, I would say no but I wouldnt discard it in the future, says Yuen-Zhou. Just like with photoredox catalysis, you just need to find the right class of reactions.

There might certainly be something said for more people becoming involved and working together within this field. People who learn quantum electrodynamics dont often sit in advanced organic chemistry classes and vice versa theres a gap to be bridged, Narang says. But of course thats also where a lot of exciting discoveries come from.

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NTT Research and University of Notre Dame Collaborate to Explore Continuous-Time Analog Computing – Business Wire

PALO ALTO, Calif.--(BUSINESS WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has reached an agreement with the University of Notre Dame to conduct joint research between its Physics and Informatics (PHI) Lab and the Universitys Department of Physics. The five-year agreement covers research to be undertaken by Dr. Zoltn Toroczkai, a professor of theoretical physics, on the limits of continuous-time analog computing. Because the Coherent Ising Machine (CIM), an optical device that is key to the PHI Labs research agenda, exhibits characteristics related to those of analog computers, one purpose of this project is to explore avenues for improving CIM performance.

The three primary fields of the PHI Lab include quantum-to-classical crossover physics, neural networks and optical parametric oscillators. The work with Dr. Toroczkai addresses an opportunity for tradeoffs in the classical domain between analog computing performance and controllable variables with arbitrarily high precision. Interest in analog computing has rebounded in recent years thanks to modern manufacturing techniques and the technologys efficient use of energy, which leads to improved computational performance. Implemented with the Ising model, analog computing schemes now figure within some emerging quantum information systems. Special-purpose, continuous time analog devices have been able to outperform state-of-the-art digital algorithms, but they also fail on some classes of problems. Dr. Toroczkais research will explore the theoretical limits of analog computing and focus on two approaches to achieving improved performance using less precise variables, or (in the context of the CIM) a less identical pulse amplitude landscape.

Were very excited to have the University of Notre Dame and Professor Toroczkai, a specialist in analog computing, join our growing consortium of researchers engaged in rethinking the limits and possibilities of computing, said NTT Research PHI Lab Director Yoshihisa Yamamoto. We see his work at the intersection of hard, optimization problems and analog computing systems that can efficiently solve them as very promising.

The agreement identifies research subjects and project milestones between 2020 and 2024. It anticipates Dr. Toroczkai and a graduate student conducting research at Notre Dame, adjacent to South Bend, Indiana, while collaborating with scientists at the PHI Lab in California. Recent work by Dr. Toroczkai related to this topic includes publications in Computer Physics Communications and Nature Communications. Like the PHI Lab itself, he brings to his research both domain expertise and a broad vision.

I work in the general area of complex systems research, bringing and developing tools from mathematics, equilibrium and non-equilibrium statistical physics, nonlinear dynamics and chaos theory to bear on problems in a range of disciplines, including the foundations of computing, said Dr. Toroczkai, who is also a concurrent professor in the Department of Computer Science and Engineering and co-director of the Center for Network and Data Science. This project with NTT Research is an exciting opportunity to engage in basic research that will bear upon the future of computing.

The NTT Research PHI Lab has now reached nine joint research projects as part of its long-range goal to radically redesign artificial neural networks, both classical and quantum. To advance that goal, the PHI Lab has established joint research agreements with six other universities, one government agency and one quantum computing software company. Those universities are California Institute of Technology (CalTech), Cornell University, Massachusetts Institute of Technology (MIT), Stanford University, Swinburne University of Technology and the University of Michigan. The government entity is NASA Ames Research Center in Silicon Valley, and the private company is 1QBit in Canada. In addition to its PHI Lab, NTT Research has two other research labs: its Cryptography and Information Security (CIS) Lab and Medical and Health Informatics (MEI) Lab.

About NTT Research

NTT Research opened its Palo Alto offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuro-science and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.

NTT and the NTT logo are registered trademarks or trademarks of NIPPON TELEGRAPH AND TELEPHONE CORPORATION and/or its affiliates. All other referenced product names are trademarks of their respective owners. 2020 NIPPON TELEGRAPH AND TELEPHONE CORPORATION

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Could Snowflake Rival Amazon in Cloud Storage and Services? Here’s What You Need to Know About the New So – Tech Times

Amazon could be in trouble as a new rival has come forth.Snowflake Incorporated, the California-based company found in 2012, has taken the lead in the market area dominated by Amazon.com Incorporated, the top provider of public cloud storage and services.

(Photo : Screenshot from Twitter post of @BrunoGazze)Snowflake Could Rival Amazon When It Comes to Cloud Storage and Services; How Good Is It?

Also Read:Microsoft Claims Apple's Policy "Remains a Bad Experience" Despite Allowing xCloud and Stadia in the App Store

A regulatory filing stated that the software maker generated incredible revenue growth and customer loyalty. From $75 to $85, the company increased its IPO price range by up to $100 to $100 every share.

Also Read:Facebook Gaming Streamers Can Now Play Background Music from Universal, Warner, Sony, and MORE, But With Some Restrictions

The new price range could increase Snowflake's market value to $30 billion, which was previously only $12.5 billion. Snowflake's software gathers the data untidily sent across different systems so that businesses and companies could quickly analyze it all together.

The new product helps clients answer their queries about the internet's data to understand better how their businesses function, allowing them to make better decisions. According to the filing, Snowflake processes an average of 507 million customer queries every day.

Amazon helped businesses avoid running their own data centers by renting computing power, services, and storage. However, unlike Amazon, Analysts claimed that Snowflake's capabilities and flexibility make it more advanced than its competing data warehouse called Redshift, which is owned by Amazon Web Services.

(Photo : Screenshot from Twitter post of @SeifelCapital)Snowflake Could Rival Amazon When It Comes to Cloud Storage and Services; How Good Is It?

"It's a rapidly evolving competitive landscape," said Zane Chrane, Sanford C. Berstein's analyst.

"AWS Redshift probably has the largest cloud data warehouse, with the most customers and revenue, but it's the oldest," added the analyst.

Chrane also said that the new software is one of the most disruptive new vendors in the Cloud storage and services in the last few years. Snowflake also competes against Alphabet Incorporated's Google Cloud Platform and Microsoft Corp.

Chrane also said that the new software is one of the most disruptive new vendors in the Cloud storage and services in the last few years. Snowflake also competes against Alphabet Incorporated's Google Cloud Platform and Microsoft Corp.

Mandeep Singh, Bloomberg Intelligence's analyst, said that Wall Street is confident to partially value the company since Frank Slootman richly, Snowflake's CEO, could adequately handle a $70 billion market.

For more news updates about Snowflake or other new software, always keep your tabs open here at TechTimes.

Also Read: FACT-CHECK: Antifa Did NOT Start Oregon Fire; Facebook to Remove Fake News on Platform

This article is owned by TechTimes,

Written by:Giuliano de Leon.

2018 TECHTIMES.com All rights reserved. Do not reproduce without permission.

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How Cloud Computing Can Deal With Lightning Strikes and Hackers – Carnegie Endowment for International Peace

What exactly is the cloud and how does it work?

More and more of our daily lives takes place online, from banking and schooling to working and family gatherings, even more so amid the coronavirus pandemic. The cloud is the invisible computing architecture that keeps many of these digital platforms and tools running smoothly. Really, being in the cloud just means storing data on someone elses computer. A few major tech companies run massive global networks of data centers, linked with ocean-spanning fiber-optic cables and complex systems of integrated hardware and software. So there is no single cloud per se. Rather, companies like Amazon, Microsoft, and Google each run their own systems, almost like parallel internets. The risks of a companys whole cloud system going down at once are miniscule, though isolated outages of particular cloud services do happen.

Many internet users are seeing firsthand how disruptive it can be when the online tools they are relying on unexpectedly go offline or experience other bugs. For instance, when the videoconferencing software Zoom went offline for several hours one day in late August 2020, virtual classes around the United States were disrupted.

Dr. Tim Maurer is co-director of the Cyber Policy Initiative and a senior fellow at the Carnegie Endowment for International Peace. An expert on cybersecurity and geopolitics of the digital age, he currently focuses on the emerging global order for cybersecurity and the financial system.

Taking a step back, the pandemic has accelerated a decade-long transformation that was already under way. Many companies, governments, and ordinary people alike are switching from onsite information technology (IT) infrastructure to cloud computing, which provides data storage and processing services remotely. The good news is that many cloud companies have hired seasoned professional security teams with highly technical skills to protect the cloud infrastructure.

The bad news is that, as more and more people use and depend on the cloud, the risks and consequences of a systemic failure increase. Each of the major cloud providers have set up their systems to be as resilient as possible to any single-point failurethats why the risk of the whole cloud going down at once is exceedingly small. But that doesnt mean that it is immune to threatsthere are many ways that cloud services could be compromised or disrupted.

A few massive companies dominate the cloud computing market. These large cloud companies have the deep pockets and highly trained personnel needed to design and manage systems that are extremely secure and highly resilient to various risks of failure. That is why, as a rule, it is far more secure for most companies, organizations, and people to store their online data in the cloud rather than try to protect it themselves.

But theres a catch. Hackers and other nefarious criminals know that if they compromise a cloud provider, they can essentially scoop up the valuable data of many targets at once. This risk is called the Fort Knox dilemma: the data stores of cloud companies are highly protected but also highly prized targets. Theres a reason the Oceans Eleven cast targeted a casino instead of a convenience store.

Garrett Hinck was a research assistant with the Nuclear Policy Program at the Carnegie Endowment for International Peace.

And that isnt the only issue. The potential for threats against the cloud to create systemic risk are becoming increasingly apparent. A major cyber incident could have industry-wide or even economy-spanning effects, impacting financial services or triggering a temporary outage that prevents cloud clients from processing critical data like health insurance records.

Thankfully, the chances of an incident shutting down an entire cloud provider are exceedingly low: they make their systems as resilient as possible to keep that from happening. However, if one critical cloud-based dataset or process (like an algorithm for adjusting insurance claims, for example) failed, there could be significant consequences. Thats why its so important to understand the potential consequences of threats to cloud customers data as thoroughly as possible. As more and more critical data, like financial transactions and health records, are stored in the cloud, the consequences of major breaches will only increase.

The cloud is not invulnerable to hackers. While cloud providers can create secure environments, some vulnerabilities remain, and the security of the environment still also depends on their clients to store data securely. Cloud companies and the customers they serve both have important roles to play to keep data safe, and they divide up the responsibilities for data security accordingly. To use an analogy, it is not enough for a cloud provider to design a highly secure virtual safe: customers also have to be sure to set a good combination and keep that information from prying eyes.

In July 2019, for instance, a hacker broke into the cloud-based databases that stored personal information of Capital One credit card applicants and later attempted to sell the stolen information online. Personal information sold on the dark web can then be used by criminals for identity theft and other forms of fraud. This incident illustrates the damage that can ensue when security measures are breached.

Hackers arent the only risk facing the cloud or even the most common one. Cloud services can be disrupted by many unforeseen events including lightning strikes or flooding at data centers or even human error. In one notable incident, a typo by an Amazon engineer took the companys cloud storage service offline for many U.S.-based customers for four hours. These risks can have significant ripple effects because cloud services are complex and often rely on convoluted, interdependent internal systems. A failure can have outsize and unpredictable effects.

Additionally, vulnerabilities wired into the hardware and coded into the software that run the cloud can have broad impacts. The Meltdown and Spectre vulnerabilities, which affected the chips used in cloud servers, could have allowed attackers to spy on other cloud customers data. Cloud companies made herculean efforts to address these vulnerabilities and build a fix before the bugs became public in early 2018, underscoring their potential impact.

As organizations migrate to the cloud, responsibility for security becomes shared between cloud service providers and the organizations they serve. Having a clear understanding of who is responsible for what, especially where aspects of that responsibility are shared, is critical for pulling off a migration that leads to greater security, not less. Cloud service providers already assist their customers with facilitating this transition, and as they expand their business in the United States and abroad, it will be important that this assistance is scaled accordingly and provided equitably.

It is also clear that some reams of data are more important than others. The Health Insurance Portability and Accountability Act in the United States, for example, specifically protects medical data. Financial regulators focus on data and processes critical for the functioning of the financial system. It will become more important going forward for experts to open up the black box of cloud service providers and assess and protect risk based on how critical a particular set of data and associated services are. Finally, the tech industry remains a nascent sector. Unlike other sectors like aviation or finance, mechanisms to cooperate remain very limited among the main cloud service providers and competition even trumps shared security concerns.

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How to approach IT logging in the cloud vs. on premises – TechTarget

Few things are more important for IT infrastructure than proper logging practices. Logs from both application and infrastructure components help IT admins find the root causes of issues. With the help of machine learning to analyze logs, IT admins can prevent and remediate security issues.

Logs are everywhere and new ones are generated all the time, but they cannot be taken for granted. As enterprises move into the cloud, they must understand how cloud operations change logging procedures. This article covers many aspects of logging in the cloud, including the cost of log collection, how to approach different types of cloud logs and storage decisions.

Logging on site is normally straightforward in terms of collection and analysis. While the cloud doesn't change that in theory, it does change a few considerations.

Log storage and analysis with on-premises resources traditionally isn't expensive. Large drives with multicore CPUs are reasonable in cost, and often last for years. With log storage and analysis in the cloud, users pay for resources they consume. While logs are not typically massive files, the volume of logs that accumulates when you collect them from many sources can add up rapidly. Consider whether you'll be throwing money away on the monthly charge to store them.

The real surprise admins get with logging in the cloud is how log files are processed. Compute resource use becomes another ongoing monthly cost -- unless an IT organization disposes of unnecessary files, their costs will add up quickly. A third-party service for log analysis can help with this particular cost -- and it can work with both cloud and on-premises logs. However, log analytics tools add their own cost and time investment, which organizations must keep in mind.

IT organizations must decide what to do with logs. Unlike with on-premises deployments, the IT organization does not control all of the infrastructure and components to run the application. The question is whether the organization has the ability to make changes in the cloud service. The answer depends on the service -- infrastructure (IaaS), platform (PaaS) or software (SaaS) -- as the access levels vary greatly.

With PaaS and IaaS cloud setups, IT admins have some control over logs and log analysis. With SaaS, the cloud provider controls almost everything from the data center hardware to the application. More admin control over the cloud environment makes it easier to see the value in log investment, because an organization can make meaningful changes, rather than just observing. The downside of more control over the cloud, with PaaS or IaaS, is the increased costs that go with it, which add to the cloud logging bill.

Pulling and processing detailed logs on a SaaS application might not be worth the investment in time and money, as an IT organization probably cannot make any effective changes to the SaaS environment or application. There's no real reason to work on these insights into information the cloud provider should already have.

With IaaS, cloud adopters have the most control over the environment, but are still limited to what the cloud provider allows them to adjust. Information from logs is key for cost-affecting decisions, such as whether to increase network bandwidth or compute resources for an application or service. Log analytics can lead to environment optimizations that pay off with lower overall cloud consumption.

When managing a cloud environment, select which logs to keep and which logs to ignore -- or not track at all. Look at the logs for the services that affect the environment and that are for aspects of the setup that you can change. Learn what the cloud provider monitors and optimizes as part of its responsibility for the environment.

To get started with logging in the cloud, look at the top 10 log types your organization monitors in its on-premises environment. Examples include access made between applications stacks, security logs or logs that show application errors. These logs should be universal -- from on premises to cloud services. Two additional logs that might not be on the on-premises log list are internet access and WAN. Connection to the cloud is key, so these logs should be a cornerstone of the collection process.

For logs the cloud provider would monitor, such as those tracking hardware events, verify the responsibility with the cloud provider. Commonly, the IaaS provider manages the hardware and therefore collects, analyzes and acts on hardware-related logs.

The length of time your organization retains its logs matters, especially for security events. After a security breach or attack occurs, logs are critical evidence used for a full investigation and to understand the effect of the issue.

Since cloud storage is a monthly cost, determine what logs to keep long term and which ones to dismiss on a more frequent basis. Consider transferring some types of cloud logs into long-term archival storage for future reference. Retrieval time can take hours or even days -- but this history could save a lot in costs when you need it.

While cloud-based log collection, management and analysis follow many of the same guidelines as these activities in on-premises environments, your organization will be most efficient if it accounts for cloud-related differences. Pay attention to log retention times, the size of your log storage and how many logs you're processing to keep costs under control. With logging in the cloud, key events and actions should be similar to those used in on-premises procedures, but don't forget to include WAN and internet activity logs, as these are more unique to cloud environments.

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This lifetime web hosting subscription comes with up to 1TB of storage – Mashable

Products featured here are selected by our partners at StackCommerce.If you buy something through links on our site, Mashable may earn an affiliate commission.This Eureka bundle is 88% off.

Image: PEXELS

By StackCommerceMashable Shopping2020-09-15 09:00:00 UTC

TL;DR: Ensure you have the storage you need with the Eureka Hosting & Storage Lifetime Subscription bundle for $99, an 88% savings as of Sept. 15.

If you're thinking of starting a website, one of the first steps is to choose a host. With most web hosting, you'll have to pay a monthly or yearly fee, and while that cost is generally (relatively) manageable, it can add up.

A lifetime deal, like this one from Eureka, is potentially a good option. Not only will you get a lifetime of web hosting, but in this case you'll also get 1TB of storage.

Perfect for non-tech savvy folks, the Eureka Hosting and Storage Bundle streamlines your website's capacity and defends it from threats. It'll beef up its ability to handle traffic spikes, and will provide protection against DDoS attacks. And with 1TB of cloud storage, you can store and deliver all your files from images and videos to reports and projects at optimal speed, with fast CDNs ensuring your files load quickly.

A lifetime subscription to Eureka Hosting and Storage is just $99 (down from $844) for a limited time. Once you sign up, it'll automatically be renewed every five years.

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