British Startup Nyobolt Demos 4-Minute Battery Charging For EVs

Longtime Slashdot reader fahrbot-bot shares a report from CNN, written by Olesya Dmitracova: Nyobolt, based in Cambridge, has developed a new 35kWh lithium-ion battery that was charged from 10% to 80% in just over four and a half minutes in its first live demonstration last week. […] Nyobolt’s technology builds on a decade of research led by University of Cambridge battery scientist Clare Grey and Cambridge-educated Shivareddy, the company said. Key to its batteries’ ability to be charged super-fast without a big impact on their longevity is a design that means they generate less heat. It also makes them safer as overheating can cause a lithium-ion battery to catch fire and explode. In addition, the materials used to make the batteries’ anodes allow for a faster transfer of electrons. Nyobolt is currently in talks to sell its batteries to eight electric car manufacturers. At 35 kWh, the battery is much smaller than the 85 kWh in a more typical American electric vehicle (EV). Yet the technology may be used in larger battery packs in the future.

Independent testing of Nyobolt’s batteries by what it called a leading global manufacturer found that they can achieve over 4,000 fast-charge cycles, equivalent to 600,000 miles (965,600 kilometers), while retaining more than 80% of capacity, Nyobolt said in its Friday statement. William Kephart, an e-mobility specialist at consultancy P3 Group and a former engineer, said EV batteries of the kind Nyobolt has developed could “theoretically” be charged as fast as the firm is promising, but the challenge was manufacturing such batteries on an industrial scale. A crucial chemical element in Nyobolt’s batteries is niobium but, as Kephart pointed out, last year only an estimated 83,000 tons (94,500 tons) was mined worldwide. Compare that with graphite, commonly used as anode material in lithium-ion batteries: an estimated 1.6 million tons (1.8 million tons) was produced in 2023. In addition, there are currently “a lot of unknowns” with the niobium battery technology, he told CNN. “The industry will work it out (but) it’s not seen by the industry as a scalable technology just yet,” he added.

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Phil Schiller To Join OpenAI Board In ‘Observer’ Role Following Apple’s ChatGPT Deal

As reported by Bloomberg, Apple will get an “observer role” on OpenAI’s board of directors as part of its partnership to integrate ChatGPT into iOS 18. That role will reportedly be filled by Apple Fellow, Phil Schiller. 9to5Mac reports: Apple having an “observer role” on the OpenAI board matches the role of Microsoft. Schiller will be able to observe and attend board meetings, but will not have any voting power: “The board observer role will put Apple on par with Microsoft, OpenAI’s biggest backer and its main AI technology provider. The job allows someone to attend board meetings without being able to vote or exercise other director powers. Observers, however, do gain insights into how decisions are made at the company.” The arrangement will take effect later this year, according to Bloomberg. Schiller “hasn’t yet attended any meetings” of the OpenAI board and “details of the situation could still change.”

Schiller served as Apple’s long-time marketing chief before transitioning to an Apple Fellow role in 2020. In this role, Schiller continues to lead the App Store and Apple events and reports directly to Apple CEO Tim Cook. Schiller is also leading Apple’s efforts to defend the App Store against antitrust allegations around the world.

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Brazil Data Regulator Bans Meta From Mining Data To Train AI Models

Brazil’s national data protection authority ruled on Tuesday that Meta must stop using data originating in the country to train its artificial intelligence models. The Associated Press reports: Meta’s updated privacy policy enables the company to feed people’s public posts into its AI systems. That practice will not be permitted in Brazil, however. The decision stems from “the imminent risk of serious and irreparable or difficult-to-repair damage to the fundamental rights of the affected data subjects,” the agency said in the nation’s official gazette. […] Hye Jung Han, a Brazil-based researcher for the rights group, said in an email Tuesday that the regulator’s action “helps to protect children from worrying that their personal data, shared with friends and family on Meta’s platforms, might be used to inflict harm back on them in ways that are impossible to anticipate or guard against.”

But the decision regarding Meta will “very likely” encourage other companies to refrain from being transparent in the use of data in the future, said Ronaldo Lemos, of the Institute of Technology and Society of Rio de Janeiro, a think-tank. “Meta was severely punished for being the only one among the Big Tech companies to clearly and in advance notify in its privacy policy that it would use data from its platforms to train artificial intelligence,” he said. Compliance must be demonstrated by the company within five working days from the notification of the decision, and the agency established a daily fine of 50,000 reais ($8,820) for failure to do so. In a statement, Meta said the company is “disappointed” by the decision and insists its method “complies with privacy laws and regulations in Brazil.”

“This is a step backwards for innovation, competition in AI development and further delays bringing the benefits of AI to people in Brazil,” a spokesperson for the company added.

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Alzheimer’s Scientist Indicted For Allegedly Falsifying Data In $16 Million Scheme

“A federal grand jury has indicted an embattled Alzheimer’s researcher for allegedly falsifying data to fraudulently obtain $16 million in federal research funding from the National Institutes of Health for the development of a controversial Alzheimer’s drug and diagnostic test,” writes Beth Mole via Ars Technica. “Wang is charged with one count of major fraud against the United States, two counts of wire fraud, and one count of false statements. If convicted, he faces a maximum penalty of 10 years in prison for the major fraud charge, 20 years in prison for each count of wire fraud, and five years in prison for the count of false statements […].” From the report: Hoau-Yan Wang, 67, a medical professor at the City University of New York, was a paid collaborator with the Austin, Texas-based pharmaceutical company Cassava Sciences. Wang’s research and publications provided scientific underpinnings for Cassava’s Alzheimer’s treatment, Simufilam, which is now in Phase III trials. Simufilam is a small-molecule drug that Cassava claims can restore the structure and function of a scaffolding protein in the brain of people with Alzheimer’s, leading to slowed cognitive decline. But outside researchers have long expressed doubts and concerns about the research.

In 2023, Science magazine obtained a 50-page report from an internal investigation at CUNY that looked into 31 misconduct allegations made against Wang in 2021. According to the report, the investigating committee “found evidence highly suggestive of deliberate scientific misconduct by Wang for 14 of the 31 allegations,” the report states. The allegations largely centered around doctored and fabricated images from Western blotting, an analytical technique used to separate and detect proteins. However, the committee couldn’t conclusively prove the images were falsified “due to the failure of Dr. Wang to provide underlying, original data or research records and the low quality of the published images that had to be examined in their place.” In all, the investigation “revealed long-standing and egregious misconduct in data management and record keeping by Dr. Wang,” and concluded that “the integrity of Dr. Wang’s work remains highly questionable.” The committee also concluded that Cassava’s lead scientist on its Alzheimer’s disease program, Lindsay Burns, who was a frequent co-author with Wang, also likely bears some responsibility for the misconduct.

In March 2022, five of Wang’s articles published in the journal PLOS One were retracted over integrity concerns with images in the papers. Other papers by Wang have also been retracted or had statements of concern attached to them. Further, in September 2022, the Food and Drug Administration conducted an inspection of the analytical work and techniques used by Wang to analyze blood and cerebrospinal fluid from patients in a simufilam trial. The investigation found a slew of egregious problems, which were laid out in a “damning” report (PDF) obtained by Science. In the indictment last week (PDF), federal authorities were explicit about the allegations, claiming that Wang falsified the results of his scientific research to NIH “by, among other things, manipulating data and images of Western blots to artificially add bands [which represent proteins], subtract bands, and change their relative thickness and/or darkness, and then drawing conclusions” based on those false results.

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Anthropic Looks To Fund a New, More Comprehensive Generation of AI Benchmarks

AI firm Anthropic launched a funding program Monday to develop new benchmarks for evaluating AI models, including its chatbot Claude. The initiative will pay third-party organizations to create metrics for assessing advanced AI capabilities. Anthropic aims to “elevate the entire field of AI safety” with this investment, according to its blog. TechCrunch adds: As we’ve highlighted before, AI has a benchmarking problem. The most commonly cited benchmarks for AI today do a poor job of capturing how the average person actually uses the systems being tested. There are also questions as to whether some benchmarks, particularly those released before the dawn of modern generative AI, even measure what they purport to measure, given their age.

The very-high-level, harder-than-it-sounds solution Anthropic is proposing is creating challenging benchmarks with a focus on AI security and societal implications via new tools, infrastructure and methods.

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