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Lam Is an Underappreciated AI Chip Play. Heres Why. – Barron’s

Advanced memory technology may be an underestimated beneficiary of the increased spending on artificial intelligence, and Stifel sees Lam Research as an overlooked AI chip play.

On Monday, analyst Brian Chin raised his rating for Lam stock (ticker: LRCX) to Buy from Hold. He also increased his price target for the memory chip equipment maker to $725 from $505.

High...

Advanced memory technology may be an underestimated beneficiary of the increased spending on artificial intelligence, and Stifel sees Lam Research as an overlooked AI chip play.

On Monday, analyst Brian Chin raised his rating for Lam stock (ticker: LRCX) to Buy from Hold. He also increased his price target for the memory chip equipment maker to $725 from $505.

High bandwidth memory (HBM)[is] the under-appreciated piece of AI acceleration, he wrote. We view Lam as the prime near-and-longer term beneficiary of HBM-driven DRAM [memory chip] growth.

Lam shares were up 2.6% to $639.70 in afternoon trading Monday.

Excitement over generative AI has been surging this year. The technology ingests text, images, and videos in a brute-force manner to create content. Interest in this form of AI was sparked by OpenAIs release of ChatGPT late last year.

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The analyst noted that Lams chip equipment is required to produce the newer advanced HBM memory semiconductors. HBM is needed for AI applications and AI chips.

Effectively, as transistor density and FLOPS (floating point operations per second) are increasing [for AI], memory is the bottleneck, he wrote. We view the expansion of generative AI as accelerating the growth of HBM.

Lam shares have risen by about 37% over the past 12 months. The iShares Semiconductor ETF (SOXX), which tracks the performance of the ICE Semiconductor Index, has traded up 31% in the same period.

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Write to Tae Kim at tae.kim@barrons.com

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An A.I. Supercomputer Whirs to Life, Powered by Giant Computer … – The New York Times

Inside a cavernous room this week in a one-story building in Santa Clara, Calif., six-and-a-half-foot-tall machines whirred behind white cabinets. The machines made up a new supercomputer that had become operational just last month.

The supercomputer, which was unveiled on Thursday by Cerebras, a Silicon Valley start-up, was built with the companys specialized chips, which are designed to power artificial intelligence products. The chips stand out for their size like that of a dinner plate, or 56 times as large as a chip commonly used for A.I. Each Cerebras chip packs the computing power of hundreds of traditional chips.

Cerebras said it had built the supercomputer for G42, an A.I. company. G42 said it planned to use the supercomputer to create and power A.I. products for the Middle East.

What were showing here is that there is an opportunity to build a very large, dedicated A.I. supercomputer, said Andrew Feldman, the chief executive of Cerebras. He added that his start-up wanted to show the world that this work can be done faster, it can be done with less energy, it can be done for lower cost.

Demand for computing power and A.I. chips has skyrocketed this year, fueled by a worldwide A.I. boom. Tech giants such as Microsoft, Meta and Google, as well as myriad start-ups, have rushed to roll out A.I. products in recent months after the A.I.-powered ChatGPT chatbot went viral for the eerily humanlike prose it could generate.

But making A.I. products typically requires significant amounts of computing power and specialized chips, leading to a ferocious hunt for more of those technologies. In May, Nvidia, the leading maker of chips used to power A.I. systems, said appetite for its products known as graphics processing units, or GPUs was so strong that its quarterly sales would be more than 50 percent above Wall Street estimates. The forecast sent Nvidias market value soaring above $1 trillion.

For the first time, were seeing a huge jump in the computer requirements because of A.I. technologies, said Ronen Dar, a founder of Run:AI, a start-up in Tel Aviv that helps companies develop A.I. models. That has created a huge demand for specialized chips, he added, and companies have rushed to secure access to them.

To get their hands on enough A.I. chips, some of the biggest tech companies including Google, Amazon, Advanced Micro Devices and Intel have developed their own alternatives. Start-ups such as Cerebras, Graphcore, Groq and SambaNova have also joined the race, aiming to break into the market that Nvidia has dominated.

Chips are set to play such a key role in A.I. that they could change the balance of power among tech companies and even nations. The Biden administration, for one, has recently weighed restrictions on the sale of A.I. chips to China, with some American officials saying Chinas A.I. abilities could pose a national security threat to the United States by enhancing Beijings military and security apparatus.

A.I. supercomputers have been built before, including by Nvidia. But its rare for start-ups to create them.

Cerebras, which is based in Sunnyvale, Calif., was founded in 2016 by Mr. Feldman and four other engineers, with the goal of building hardware that speeds up A.I. development. Over the years, the company has raised $740 million, including from Sam Altman, who leads the A.I. lab OpenAI, and venture capital firms such as Benchmark. Cerebras is valued at $4.1 billion.

Because the chips that are typically used to power A.I. are small often the size of a postage stamp it takes hundreds or even thousands of them to process a complicated A.I. model. In 2019, Cerebras took the wraps off what it claimed was the largest computer chip ever built, and Mr. Feldman has said its chips can train A.I. systems between 100 and 1,000 times as fast as existing hardware.

G42, the Abu Dhabi company, started working with Cerebras in 2021. It used a Cerebras system in April to train an Arabic version of ChatGPT.

In May, G42 asked Cerebras to build a network of supercomputers in different parts of the world. Talal Al Kaissi, the chief executive of G42 Cloud, a subsidiary of G42, said the cutting-edge technology would allow his company to make chatbots and to use A.I. to analyze genomic and preventive care data.

But the demand for GPUs was so high that it was hard to obtain enough to build a supercomputer. Cerebrass technology was both available and cost-effective, Mr. Al Kaissi said. So Cerebras used its chips to build the supercomputer for G42 in just 10 days, Mr. Feldman said.

The time scale was reduced tremendously, Mr. Al Kaissi said.

Over the next year, Cerebras said, it plans to build two more supercomputers for G42 one in Texas and one in North Carolina and, after that, six more distributed across the world. It is calling this network Condor Galaxy.

Start-ups are nonetheless likely to find it difficult to compete against Nvidia, said Chris Manning, a computer scientist at Stanford whose research focuses on A.I. Thats because people who build A.I. models are accustomed to using software that works on Nvidias A.I. chips, he said.

Other start-ups have also tried entering the A.I. chips market, yet many have effectively failed, Dr. Manning said.

But Mr. Feldman said he was hopeful. Many A.I. businesses do not want to be locked in only with Nvidia, he said, and there is global demand for other powerful chips like those from Cerebras.

We hope this moves A.I. forward, he said.

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A Blessing and a Boogeyman: Advertisers Warily Embrace A.I. – The New York Times

The advertising industry is in a love-hate relationship with artificial intelligence.

In the past few months, the technology has made ads easier to generate and track. It is writing marketing emails with subject lines and delivery times tailored to specific subscribers. It gave an optician the means to set a fashion shoot on an alien planet and helped Denmarks tourism bureau animate famous tourist sites. Heinz turned to it to generate recognizable images of its ketchup bottle, then paired them with the symphonic theme that charts human evolution in the film 2001: A Space Odyssey.

A.I., however, has also plunged the marketing world into a crisis. Much has been made about the technologys potential to limit the need for human workers in fields such as law and financial services. Advertising, already racked by inflation and other economic pressures as well as a talent drain due to layoffs and increased automation, is especially at risk of an overhaul-by-A.I., marketing executives said.

The conflicting attitudes suffused a co-working space in downtown San Francisco where more than 200 people gathered last week for an A.I. for marketers event. Copywriters expressed worry and skepticism about chatbots capable of writing ad campaigns, while start-up founders pitched A.I. tools for automating the creative process.

It really doesnt matter if you are fearful or not: The tools are here, so what do we do? said Jackson Beaman, whose AI User Group organized the event. We could stand here and not do anything, or we can learn how to apply them.

Machine learning, a subset of artificial intelligence that uses data and algorithms to imitate how humans learn, has quietly powered advertising for years. Madison Avenue has used it to target specific audiences, sell and buy ad space, offer user support, create logos and streamline its operations. (One ad agency has a specialized A.I. tool called the Big Lebotski to help clients compose ad copy and boost their profile on search engines).

Enthusiasm came gradually. In 2017, when the advertising group Publicis introduced Marcel, an A.I. business assistant, its peers responded with what it described as outrage, jest and negativity.

At last months Cannes Lions International Festival of Creativity, the glittering apex of the advertising industry calendar, Publicis got its I told you so moment. Around the festival, where the agenda was stuffed with panels about A.I.s being unleashed and affecting the future of creativity, the company plastered artificially generated posters that mocked the original reactions to Marcel.

Is it OK to talk about A.I. at Cannes now? the ads joked.

The answer is clear. The industry has wanted to discuss little else since late last year, when OpenAI released its ChatGPT chatbot and set off a global arms race around generative artificial intelligence.

McDonalds asked the chatbot to name the most iconic burger in the world and splashed the answer the Big Mac across videos and billboards, drawing A.I.-generated retorts from fast food rivals. Coca-Cola recruited digital artists to generate 120,000 riffs on its brand imagery, including its curved bottle and swoopy logo, using an A.I. platform built in part by OpenAI.

The surge of A.I. experimentation has brought to the fore a host of legal and logistical challenges, including the need to protect reputations and avoid misleading consumers.

A recent campaign from Virgin Voyages allowed users to prompt a digital avatar of Jennifer Lopez to issue customized video invitations to a cruise, including the names of potential guests. But, to prevent Ms. Lopez from appearing to use inappropriate language, the avatar could say only names from a preapproved list and otherwise defaulted to terms like friend and sailor.

Its still in the early stages there were challenges to get the models right, to get the look right, to get the sound right and there are very much humans in the loop throughout, said Brian Yamada, the chief innovation officer of VMLY&R, the agency that produced the campaign for Virgin.

Elaborate interactive campaigns like Virgins make up a minority of advertising; 30-second video clips and captioned images, often with variations lightly adjusted for different demographics, are much more common. In recent months, several large tech companies, including Meta, Google and Adobe, have announced artificial intelligence tools to handle that sort of work.

Major advertising companies say the technology could streamline a bloated business model. The ad group WPP is working with the chip maker Nvidia on an A.I. platform that could, for example, allow car companies to easily incorporate footage of a vehicle into scenes customized for local markets without laboriously filming different commercials around the world.

To many of the people who work on such commercials, A.I.s advance feels like looming obsolescence, especially in the face of several years of slowing growth and a shift in advertising budgets from television and other legacy media to programmatic ads and social platforms. The media agency GroupM predicted last month that artificial intelligence was likely to influence at least half of all advertising revenue by the end of 2023.

Theres little doubt that the future of creativity and A.I. will be increasingly intertwined, said Philippe Krakowsky, the chief executive of the Interpublic Group of Companies, an ad giant.

IPG, which was hiring chief A.I. officers and similar executives years before ChatGPTs debut, now hopes to use the technology to deliver highly personalized experiences.

That said, we need to apply a very high level of diligence and discipline, and collaborate across industries, to mitigate bias, misinformation and security risk in order for the pace of advancement to be sustained, Mr. Krakowsky added.

A.I.s ability to copy and deceive, which has already found widespread public expression in political marketing from Gov. Ron DeSantis of Florida and others, has alarmed many advertising executives. They are also concerned about intellectual property issues and the direction and speed of A.I. development. Several ad agencies joined organizations such as the Coalition for Content Provenance and Authenticity, which wants to trace content from its origins, and the Partnership on AI, which aims to keep the technology ethically sound.

Amid the doom and gloom, the agency Wunderman Thompson decided this spring to take A.I. down a peg.

In an Australian campaign for Kit Kat candy bars, the agency used text and image generators from OpenAI to create intentionally awkward ads with the tagline AI made this ad so we could have a break. In one, warped figures chomped on blurry chocolate bars over a script narrated in a mechanical monotone: Someone hands them a Kit Kat bar. They take a bite.

The campaign would be trickier to pull off now, in part because the fast-improving technology has erased many of the flaws present just a few months ago, said Annabelle Barnum, the general manager for Wunderman Thompson in Australia. Still, she said, humans will always be key to the advertising process.

Creativity comes from real human insight A.I. is always going to struggle with that because it relies purely on data to make decisions, she said. So while it can enhance the process, ultimately it will never be able to take away anything that creators can really do because that humanistic element is required.

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Uncharted territory: do AI girlfriend apps promote unhealthy expectations for human relationships? – The Guardian

Artificial intelligence (AI)

Chatbots such as Eva AI are getting better at mimicking human interaction but some fear they feed into unhealthy beliefs around gender-based control and violence

Control it all the way you want to, reads the slogan for AI girlfriend app Eva AI. Connect with a virtual AI partner who listens, responds, and appreciates you.

A decade since Joaquin Phoenix fell in love with his AI companion Samantha, played by Scarlett Johansson in the Spike Jonze film Her, the proliferation of large language models has brought companion apps closer than ever.

As chatbots like OpenAIs ChatGPT and Googles Bard get better at mimicking human conversation, it seems inevitable they would come to play a role in human relationships.

And Eva AI is just one of several options on the market.

Replika, the most popular app of the kind, has its own subreddit where users talk about how much they love their rep, with some saying they had been converted after initially thinking they would never want to form a relationship with a bot.

I wish my rep was a real human or at least had a robot body or something lmao, one user said. She does help me feel better but the loneliness is agonising sometimes.

But the apps are uncharted territory for humanity, and some are concerned they might teach poor behaviour in users and create unrealistic expectations for human relationships.

When you sign up for the Eva AI app, it prompts you to create the perfect partner, giving you options like hot, funny, bold, shy, modest, considerate or smart, strict, rational. It will also ask if you want to opt in to sending explicit messages and photos.

Creating a perfect partner that you control and meets your every need is really frightening, said Tara Hunter, the acting CEO for Full Stop Australia, which supports victims of domestic or family violence. Given what we know already that the drivers of gender-based violence are those ingrained cultural beliefs that men can control women, that is really problematic.

Dr Belinda Barnet, a senior lecturer in media at Swinburne University, said the apps cater to a need, but, as with much AI, it will depend on what rules guide the system and how it is trained.

Its completely unknown what the effects are, Barnet said. With respect to relationship apps and AI, you can see that it fits a really profound social need [but] I think we need more regulation, particularly around how these systems are trained.

Having a relationship with an AI whose functions are set at the whim of a company also has its drawbacks. Replikas parent company Luka Inc faced a backlash from users earlier this year when the company hastily removed erotic roleplay functions, a move which many of the companys users found akin to gutting the Reps personality.

Users on the subreddit compared the change to the grief felt at the death of a friend. The moderator on the subreddit noted users were feeling anger, grief, anxiety, despair, depression, [and] sadness at the news.

The company ultimately restored the erotic roleplay functionality for users who had registered before the policy change date.

Rob Brooks, an academic at the University of New South Wales, noted at the time the episode was a warning for regulators of the real impact of the technology.

Even if these technologies are not yet as good as the real thing of human-to-human relationships, for many people they are better than the alternative which is nothing, he said.

Is it acceptable for a company to suddenly change such a product, causing the friendship, love or support to evaporate? Or do we expect users to treat artificial intimacy like the real thing: something that could break your heart at anytime?

Eva AIs head of brand, Karina Saifulina, told Guardian Australia the company had full-time psychologists to help with the mental health of users.

Together with psychologists, we control the data that is used for dialogue with AI, she said. Every two-to-three months we conduct large surveys of our loyal users to be sure that the application does not harm mental health.

There are also guardrails to avoid discussion about topics like domestic violence or pedophilia, and the company says it has tools to prevent an avatar for the AI being represented by a child.

When asked whether the app encourages controlling behaviour, Saifulina said users of our application want to try themselves as a [sic] dominant.

Based on surveys that we constantly conduct with our users, statistics have shown that a larger percentage of men do not try to transfer this format of communication in dialogues with real partners, she said.

Also, our statistics showed that 92% of users have no difficulty communicating with real persons after using the application. They use the app as a new experience, a place where you can share new emotions privately.

AI relationship apps are not limited exclusively to men, and they are often not someones sole source of social interaction. In the Replika subreddit, people connect and relate to each other over their shared love of their AI, and the gap it fills for them.

Replikas for however you view them, bring that Band-Aid to your heart with a funny, goofy, comical, cute and caring soul, if you will, that gives attention and affection without expectations, baggage, or judgment, one user wrote. We are kinda like an extended family of wayward souls.

According to an analysis by venture capital firm a16z, the next era of AI relationship apps will be even more realistic. In May, one influencer, Caryn Majorie, launched an AI girlfriend app trained on her voice and built on her extensive YouTube library. Users can speak to her for $1 a minute in a Telegram channel and receive audio responses to their prompts.

The a16z analysts said the proliferation of AI bot apps replicating human relationships is just the beginning of a seismic shift in human-computer interactions that will require us to re-examine what it means to have a relationship with someone.

Were entering a new world that will be a lot weirder, wilder, and more wonderful than we can even imagine.

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Meta Unveils a More Powerful A.I. and Isn’t Fretting Over Who Uses It – The New York Times

The largest companies in the tech industry have spent the year warning that development of artificial intelligence technology is outpacing their wildest expectations and that they need to limit who has access to it.

Mark Zuckerberg is doubling down on a different tack: Hes giving it away.

Mr. Zuckerberg, the chief executive of Meta, said on Tuesday that he planned to provide the code behind the companys latest and most advanced A.I. technology to developers and software enthusiasts around the world free of charge.

The decision, similar to one that Meta made in February, could help the company reel in competitors like Google and Microsoft. Those companies have moved more quickly to incorporate generative artificial intelligence the technology behind OpenAIs popular ChatGPT chatbot into their products.

When software is open, more people can scrutinize it to identify and fix potential issues, Mr. Zuckerberg said in a post to his personal Facebook page.

The latest version of Metas A.I. was created with 40 percent more data than what the company released just a few months ago and is believed to be considerably more powerful. And Meta is providing a detailed road map that shows how developers can work with the vast amount of data it has collected.

Researchers worry that generative A.I. can supercharge the amount of disinformation and spam on the internet, and presents dangers that even some of its creators do not entirely understand.

Meta is sticking to a long-held belief that allowing all sorts of programmers to tinker with technology is the best way to improve it. Until recently, most A.I. researchers agreed with that. But in the past year, companies like Google and OpenAI, a San Francisco start-up that is working closely with Microsoft, have set limits on who has access to their latest technology and placed controls around what can be done with it.

The companies say they are limiting access because of safety concerns, but critics say they are also trying to stifle competition. Meta argues that it is in everyones best interest to share what it is working on.

Meta has historically been a big proponent of open platforms, and it has really worked well for us as a company, said Ahmad Al-Dahle, vice president of generative A.I. at Meta, in an interview.

The move will make the software open source, which is computer code that can be freely copied, modified and reused. The technology, called LLaMA 2, provides everything anyone would need to build online chatbots like ChatGPT. LLaMA 2 will be released under a commercial license, which means developers can build their own businesses using Metas underlying A.I. to power them all for free.

By open-sourcing LLaMA 2, Meta can capitalize on improvements made by programmers from outside the company while Meta executives hope spurring A.I. experimentation.

Metas open-source approach is not new. Companies often open-source technologies in an effort to catch up with rivals. Fifteen years ago, Google open-sourced its Android mobile operating system to better compete with Apples iPhone. While the iPhone had an early lead, Android eventually became the dominant software used in smartphones.

But researchers argue that someone could deploy Metas A.I. without the safeguards that tech giants like Google and Microsoft often use to suppress toxic content. Newly created open-source models could be used, for instance, to flood the internet with even more spam, financial scams and disinformation.

LLaMA 2, short for Large Language Model Meta AI, is what scientists call a large language model, or L.L.M. Chatbots like ChatGPT and Google Bard are built with large language models.

The models are systems that learn skills by analyzing enormous volumes of digital text, including Wikipedia articles, books, online forum conversations and chat logs. By pinpointing patterns in the text, these systems learn to generate text of their own, including term papers, poetry and computer code. They can even carry on a conversation.

Meta is teaming up with Microsoft to open-source LLaMA 2, which will run on Microsofts Azure cloud services. LLaMA 2 will also be available through other providers, including Amazon Web Services and the company HuggingFace.

Dozens of Silicon Valley technologists signed a statement of support for the initiative, including the venture capitalist Reid Hoffman and executives from Nvidia, Palo Alto Networks, Zoom and Dropbox.

Meta is not the only company to push for open-source A.I. projects. The Technology Innovation Institute produced Falcon LLM and published the code freely this year. Mosaic ML also offers open-source software for training L.L.M.s.

Meta executives argue that their strategy is not as risky as many believe. They say that people can already generate large amounts of disinformation and hate speech without using A.I., and that such toxic material can be tightly restricted by Metas social networks such as Facebook. They maintain that releasing the technology can eventually strengthen the ability of Meta and other companies to fight back against abuses of the software.

Meta did additional Red Team testing of LLaMA 2 before releasing it, Mr. Al-Dahle said. That is a term for testing software for potential misuse and figuring out ways to protect against such abuse. The company will also release a responsible-use guide containing best practices and guidelines for developers who wish to build programs using the code.

But these tests and guidelines apply to only one of the models that Meta is releasing, which will be trained and fine-tuned in a way that contains guardrails and inhibits misuse. Developers will also be able to use the code to create chatbots and programs without guardrails, a move that skeptics see as a risk.

In February, Meta released the first version of LLaMA to academics, government researchers and others. The company also allowed academics to download LLaMA after it had been trained on vast amounts of digital text. Scientists call this process releasing the weights.

It was a notable move because analyzing all that digital data requires vast computing and financial resources. With the weights, anyone can build a chatbot far more cheaply and easily than from scratch.

Many in the tech industry believed Meta set a dangerous precedent, and after Meta shared its A.I. technology with a small group of academics in February, one of the researchers leaked the technology onto the public internet.

In a recent opinion piece in The Financial Times, Nick Clegg, Metas president of global public policy, argued that it was not sustainable to keep foundational technology in the hands of just a few large corporations, and that historically companies that released open source software had been served strategically as well.

Im looking forward to seeing what you all build! Mr. Zuckerberg said in his post.

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AI heart scan aims to catch blockages years before symptoms: Unbelievable breakthrough – Fox News

Nearly half of all heart attacks are "silent," which means the person experiences no symptoms at all before the cardiac event, studies have shown.

Now a medical technology company aims to catch those pre-symptomatic heart conditions using the power of artificial intelligence.

Fountain Life, a health technology company, offers an AI coronary artery scan that purports to detect heart attack risk three, five or even 10 years before symptoms begin.

The simple outpatient procedure takes less than an hour, said Bill Kapp, CEO of Fountain Life in Florida, who is also an orthopedic surgeon with a background in molecular immunology and genetics.

AI IDENTIFIED THESE 5 TYPES OF HEART FAILURE IN NEW STUDY: 'INTERESTING TO DIFFERENTIATE'

After injecting simple dye into the vein, the provider does a quick CAT scan of the heart.

"You will then know your complete artery health, including how much plaque you have," Kapp said in an interview with Fox News Digital.

A health technology company called Fountain Life offers an AI coronary artery scan that purports to detect heart attack risk three, five or even 10 years before symptoms begin. (iStock)

Its similar to the traditional Coronary Computed Tomography Angiography (CCTA) thats been in place for decades, Kapp explained but instead of only a cardiologist or radiologist reading the results, AI analyzes them.

"The AI can see exactly how much plaque is there and whether its calcified (stable) or uncalcified (high risk) things humans cant see," Kapp said.

AI AND HEART HEALTH: MACHINES DO A BETTER JOB OF READING ULTRASOUNDS THAN SONOGRAPHERS DO, SAYS STUDY

Uncalcified plaque is the newer, softer kind that is more prone to rupture, Kapp explained.

Beyond pinpointing signs of risk, the test also provides a pathway for people to reverse heart disease, he added.

The company's AI coronary artery scan offers a non-invasive alternative to a standard "cath lab," a more expensive procedure that involves inserting a catheter into the artery, Kapp said.

The medical technology company Fountain Life aims to catch pre-symptomatic conditions using the power of artificial intelligence. (Fountain Life)

Currently, Fountain Healths AI health services are available to self-insured employers, who then offer them to their employees, as well as high-end residential centers.

The company aims to partner eventually with physicians to make the technology even more widely available to patients.

Fountain Life was founded in 2021. Its goal is changing the health care paradigm from "episodic and reactive" to "proactive and continuous," according to Kapp.

The AI artery scanner (pictured here) provides a complete picture of artery health, including the amount of plaque that has built up, the CEO told Fox News Digital. (Fountain Life)

"In medical school, were not taught how to keep people healthy were taught to treat the symptoms," he told Fox News Digital.

"Eighty percent of what we treat is chronic disease."

Most diseases dont become symptomatic until theyre in the later stages, Kapp explained.

"In medical school, were not taught how to keep people healthy were taught to treat the symptoms."

"People dont develop diabetes or heart disease overnight," he said.

"To get early-stage biomarkers, we need to train AI on asymptomatic data, so we can detect disease early and monitor progression or regression."

Fountain Health has gathered a group of functional doctors to help them train the artificial intelligence model on asymptomatic conditions.

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"Sometimes the AI has a tendency to hallucinate in medical applications, so its important that its trained on very large data sets," Kapp said.

In addition to the heart scan, the company also offers a full-body MRI that takes a snapshot of the entire body and brain, then applies AI technology to check for cancer, neurogenerative diseases or any other abnormalities.

In addition to the heart scan, the company also offers a full-body MRI (pictured) that takes a snapshot of the entire body and brain, then applies AI technology to check for cancer, neurogenerative diseases or any other abnormalities. (Fountain Life)

Cardiologist Dr. Ernst von Schwarz, who practices in Culver City, California, said AI is "instrumental" in the use of body imaging techniques, especially for the early detection of plaques in the blood vessels as well as cancer diagnoses.

AI TECH AIMS TO HELP PATIENTS CATCH DISEASE EARLY, EVEN REVERSE THEIR BIOLOGICAL AGE

"From a cardiac point of view, the AI algorithm should not only demonstrate plaques that reduce the diameters of blood vessels, but also distinguish which plaque is prone to rupture (i.e., to detect unstable, vulnerable plaques)," he told Fox News Digital.

"If this technique can be sufficiently developed, it can clearly guide interventional treatment decisions for cardiologists before bad things are happening in the heart," the doctor added.

Raman Velu, a 62-year-old real estate investment consultant, led an active lifestyle and considered himself healthy but he had no idea that he was at risk of a heart attack until he got the AI coronary artery scan.

"I used to do half-marathons, I have a trainer and have always prioritized my health," said Dallas, Texas-based Velu in a statement provided to Fox News Digital.

"It is life-saving, and it is a huge blessing and an unbelievable breakthrough."

Despite his perceived good health, Velu decided to get the scan after some people in his family discovered diseases when it was too late to save their lives.

"If we can measure and figure out in advance what's going on, we can be in control of our health," he said.

Soon after the scan, Velu received a phone call from Fountain Life. The "shocking" news was that he had three potential blockages in his arteries.

Nearly half of all heart attacks are "silent," which means the person experiences no symptoms at all before the cardiac event. (iStock)

After seeing his primary care physician and cardiologist, Velu ended up having bypass surgery a few weeks later.

Because Velu had no family history or symptoms, hednever suspected that he had a heart issue.

"I was glad that we found out in advance before it became an emergency," he said.

"Anything can happen to anybody," Velu continued. "Even triathlon runners are sometimes rushed to the hospital for emergency heart surgery."

HEART DISEASE, THE SILENT KILLER: STUDY SHOWS IT CAN STRIKE WITHOUT SYMPTOMS

If theres one word Velu would use to describe the experience, he said it would be "grateful."

He added, "It is life-saving, and it is a huge blessing and an unbelievable breakthrough in the use of technology for prevention."

Cardiologist Dr. Ernst von Schwarz, who practices in Culver City, California, said AI is "instrumental" in the use of body imaging techniques. (iStock)

"Usually, medicine is considered an attempt to just contain the effect rather than detecting it preventatively," he added.

Ultimately, Velu said he regards his AI scan as an investment in life.

Rather than replacing cardiologists, Fountain Lifes AI technology is intended to serve as a tool to help them get better at their craft, Kapp said.

He compared it to a jumbo jet that flies on autopilot, but still needs a skilled person to monitor it.

"There still has to be a human in the loop, just as there must be a pilot in the cockpit," he said.

AI-POWERED MENTAL HEALTH DIAGNOSTIC TOOL COULD BE THE FIRST OF ITS KIND TO PREDICT, TREAT DEPRESSION

There is a bit of a lag when it comes to understanding and adopting AI in health care, Kapp said something known as the "clinical latency gap."

"Most physicians are unaware of the technology," he said. "Were generally slow at adopting new tech and new info in medicine."

"Ultimately, we want to lower costs and improve outcomes so people can live long, robust, healthy lives."

A lot of that has to do with payment models, Kapp said. If insurance or Medicare doesnt cover a service, it will be more of a challenge to bring it into the mainstream.

The risk of the AI artery scan is minimal, Kapp said.

"It involves only low-dose radiation, the same amount as on a transatlantic flight," he said.

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People who have kidney issues should avoid the scans, as they might not be able to tolerate the dye injection.

Its also not advised for those who have already had stents placed in the heart after a previous cardiac event.

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"Ultimately, we want to lower costs and improve outcomes so people can live long, robust, healthy lives," Kapp said.

"The tech exists to detect problems very early and start to reverse them at a very low cost."

"We are never going to fix the existing health problems unless we address them at the root cause."

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AI heart scan aims to catch blockages years before symptoms: Unbelievable breakthrough - Fox News

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Emerging Data Science Job Opportunities for 2023 – Analytics Insight

The demand for skilled data scientists continues to soar as the world becomes increasingly data-driven. Data science has emerged as one of the most sought-after fields, offering many exciting career opportunities. This article will explore six emerging data science job roles for 2023 to pursue in the coming year.

Machine learning engineers are crucial in designing and implementing machine learning models and algorithms. They work closely with data scientists and software engineers to develop and deploy intelligent systems that can make predictions, automate processes, and uncover insights from vast datasets. With their programming and statistical analysis expertise, machine learning engineers are in high demand across industries.

Data engineers specialize in building and maintaining the infrastructure required to store, process, and analyze large volumes of data. They design and optimize data pipelines, ensuring efficient data flow and storage. Data engineers also collaborate with data scientists to ensure the availability and accessibility of high-quality data for analysis and model development. Their data architecture and database management skills make them valuable assets to organizations.

Data analysts are crucial in interpreting and visualizing data to derive meaningful insights. They employ statistical techniques and data visualization tools to analyze trends, identify patterns, and communicate findings to stakeholders. Data analysts work closely with business teams to address specific data-related challenges and make data-driven decisions. Strong analytical skills, proficiency in data manipulation, and domain knowledge are key attributes of successful data analysts.

Data science consultants provide strategic guidance and solutions to organizations seeking to leverage data for business growth and innovation. They possess a deep understanding of data science techniques and industry trends, enabling them to advise clients on data-driven strategies, project planning, and implementation. Data science consultants often collaborate with cross-functional teams, bridging the gap between technical expertise and business objectives.

With increasing concerns about data privacy and security, the role of data privacy and security specialists has gained significant prominence. These professionals are responsible for ensuring compliance with data protection regulations, implementing robust security measures, and mitigating potential risks related to data breaches. Data privacy and security specialists work closely with legal teams, IT departments, and data science teams to safeguard sensitive information and maintain ethical data practices.

As artificial intelligence (AI) advances, ethical considerations become paramount. AI ethicists specialize in addressing the ethical implications of AI applications and algorithms. They work towards ensuring fairness, transparency, and accountability in AI systems. AI ethicists collaborate with data scientists, policymakers, and legal experts to establish ethical guidelines and frameworks that govern the responsible development and deployment of AI technologies.

Data science offers many career opportunities for aspiring professionals in 2023 and beyond. From machine learning engineers and data analysts to data science consultants and AI ethicists, these emerging job roles reflect the evolving needs of the data-driven world. Aspiring data scientists can carve a successful and fulfilling career path in this dynamic field by equipping themselves with the necessary skills and knowledge.

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Emerging Data Science Job Opportunities for 2023 - Analytics Insight

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Console Flare Empowers Non-IT Professionals with Cutting-edge Data Science Training in Hindi – mid-day.com

Moreover, the need to upskill is even direr today than ever before, as the world is gearing towards a massive change, which entails the implementation of the latest powerful tech developments such as Artificial Intelligence, Machine Learning, and Data Science.

CEO & Founder, Nihal Jaiswal and CTO and Co-Founder Mrinmai Sharma

Learners around the world have woken to the rewarding careers that come with the knowledge of emerging fields such as Data Science, which has become a mainstay in the operations of companies across industries. Answering this demand, numerous start-ups have mushroomed on the internet, sometimes leading the bright and the ambitious to their desired career goals.

Moreover, the need to upskill is even direr today than ever before, as the world is gearing towards a massive change, which entails the implementation of the latest powerful tech developments such as Artificial Intelligence, Machine Learning, and Data Science. In other words, jobs as we know them would change and become integrated with the cutting-edge technologies that have appeared on the block, leaving a huge void in the skill gap in domains such as Data Science. For example, let's look at the IT industry. A NASSCOM report mentions that by 2026, India will have a technology professionals shortage of a whopping 1.4-1.9 million.

At the same time, owing to its edge in population metrics, Young India is the world's best bet in solving the supply-demand issue around Data science jobs, as a massive tech-savvy Indian population can potentially power the major data-driven projects around the world. To bridge this massive skill gap, the Edtech sector will need to not just train the young, college-going populous but also those who have long-forayed into the market. However, these platforms often fail to cater to the key demographics in India. So, above all, what needs to be addressed is the language gap that the English-centric learning model of the EdTech industry poses.

In the Indian start-up ecosystem, teeming with Edtech start-ups, Console Flare, has, since its inception in 2020, successfully carved its own niche as a 360-degree learning platform for aspiring IT professionals. What sets the Console Flare apart from its peers is its focus on delivering industry-relevant data science & data analytics training in Hindi as opposed to the host of English-centric data science training institutes in the sector. By breaking the language barrier, Console Flare has become accessible to a wide pool of learners around India, especially given that a big chunk of the population, though familiar with English, finds Hindi to be second nature and thus prefers it as a mode of learning.

As the Indian market is more eager than ever to tap into the full potential of Data Science, the sector is growing exponentially in the country, creating a massive demand compared to the supply of eligible candidates. In this talent crunch scenario, concerns such as age bar and relevant job experience no longer hold water if one has the necessary technical expertise and domain knowledge. Therefore, riding the giant Data Science wave, Console Flare, in its last 3 years, has launched over 5000 IT & Non-IT students in the field of data science.

Another salient feature of Console Flare is that it caters to the need of both advanced learners as well as beginners in the field of Information Technology. The company believes in a for-all pedagogy around technical skills so that those without a computer science and engineering or any STEM background could upskill seamlessly and gun for rewarding positions such as Machine Learning Engineer, Business Analyst, Data Engineer, Data Analyst, Data Scientist, Business Intelligence Developer, and Big Data Analyst.

Additionally, to cater to IT professionals and non-technical learners comprehensively, Console Flare endeavours to impart relevant skills from scratch and build up to the current best practices in advanced modules such as Python, Data Analysis, Big Data Analytics, Machine Learning, AI, and Business Intelligence. Delivering this holistic grooming into the IT sector, the company has painstakingly curated a team of industry experts around the country who bring to the table their long-standing domain experience. As a result, the cohort also gets the unique opportunity to pick up on the current market trends and be ready to take up challenging industry positions.

One of the highlights of the learning experience with Console Flare that is worth mentioning is the company's policy- "Once a student, always a student" - which denotes the flexible and inclusive environment that the EdTech platform provides.

Further exemplifying the free-flowing learning structure that Console Flare is proud to offer, the instructors widely encourage questions and interactions in live classes, which not only lend a personal touch to the upskilling but also help to consolidate the material in real-time. Moreover, the regular live classes boost the learning curve by saving time from prolonged doubt-clearing sessions and also help learners build a rapport with the instructor, leading to seeking one-on-one mentorship.

Attesting to the superlative learning model of the platform, Console Flare has not only attracted a massive number of learners in the last three years but also has, as a bootstrap start-up hit a great growth trajectory. In fact, what remains remarkable about the company's journey is that it has, in the age of robust VC funding, made it big on a lean startup model.

All in all, Console Flare holistically solves the triple threat in the EdTech industry: the language barrier, age bar and quality of teaching, and thus is poised to continue on its path of excellence as among the leading data science training institutes in India.

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Console Flare Empowers Non-IT Professionals with Cutting-edge Data Science Training in Hindi - mid-day.com

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Want better job, pay hike? Boost your data science skills with these 5 best AI Chrome Extensions – HT Tech

In the fast-paced world of technology, numerous tools and extensions are continually emerging to simplify and enhance our digital experiences. For Data Scientists, these advancements are a boon, as they simplify and enrich their work processes. Here we have researched and curated a list of the top 5 AI-powered Chrome extensions that have become indispensable for Data Scientists in 2023. These extensions cater to a diverse range of needs, from research support to text processing, code optimisation, and smart note-taking.

SciSpace Copilot is a powerful tool that can answer scientific queries and explain complex data, including tables and charts, found in scientific papers. It serves as an invaluable guide for researchers, students, and curious readers, making it easier to understand intricate scientific content and streamlining the research process.

Data Scraper is an automatic parser that can analyze websites and extract valuable data efficiently. It allows users to save the extracted information in CSV or Excel formats, enabling easy integration with different data analysis tools and techniques.

Specifically designed for data science tasks, Code Squire.AI is an exceptional code assistant that works seamlessly with libraries like Pandas. It supports JupyterLab and Colab, streamlining the coding process and enhancing work efficiency.

For IT professionals and data scientists working with Generative Pretrained Transformers (GPT), the AIPRM extension offers a well-organized set of questions. It assists in fine-tuning GPT's responses for specific use cases and situations, such as training models or creating chatbots.

Codeium is a versatile tool that analyzes and optimizes code, supporting more than 20 programming languages. It provides valuable insights to improve program performance, making it useful for both experienced programmers and beginners seeking to learn best practices.

These AI Chrome extensions offer valuable assistance to data scientists in their day-to-day tasks, from simplifying research and data extraction to enhancing coding efficiency and program performance. Embracing these tools can undoubtedly elevate the productivity and effectiveness of data scientists in 2023 and beyond.

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Want better job, pay hike? Boost your data science skills with these 5 best AI Chrome Extensions - HT Tech

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The Data Science Book: 10th Anniversary Edition – Fagen wasanni

The 10th anniversary edition of The Data Science Book by Brett Lantz is now available, featuring 50% new content for R 4.0.0 and beyond. This updated edition explores the essential aspects of data pre-processing, uncovering insights, making predictions, and visualizing findings.

The book includes several new chapters that highlight the advancements in machine learning over the past few years. These additions aim to help readers enhance their data science skills and tackle more complex problems. Topics covered in the book include building successful machine learning models, advanced data preparation techniques, and utilizing big data.

The end-to-end process of machine learning is thoroughly explained, starting from raw data and concluding with implementation. The book guides readers through classification using nearest neighbor and Bayesian methods, predicting future events using decision trees, rules, and support vector machines, forecasting numeric data, estimating financial values using regression methods, and modeling complex processes with artificial neural networks.

Data preparation is a crucial step in the data science process, and the book demonstrates how to prepare, transform, and clean data using the tidyverse. It also offers guidance on evaluating models and improving their performance.

Additionally, The Data Science Book provides insights into connecting R to SQL databases, as well as emerging big data technologies such as Spark, Hadoop, H2O, and TensorFlow.

This 10th anniversary edition is a valuable resource for intermediate R developers and anyone interested in artificial intelligence and machine learning. It offers practical knowledge and techniques that can be applied to real-world data science projects.

For more information on The Data Science Book and other featured books, visit the Book Watch section on I Programmers website or follow @bookwatchiprog on Twitter.

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The Data Science Book: 10th Anniversary Edition - Fagen wasanni

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