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NEW YORK--(BUSINESS WIRE)--Jul 19, 2023--

TOKYO Japanese automotive supplier Denso will invest about 500 billion yen ($3.3 billion) in semiconductors by 2030 as

OpenAI CEO Sam Altman has sounded his fears about AI-powered election interference, telling a congressional hearing on Tuesday that the technology needs to be regulated to protect voting integrity. Artificial intelligence chatbots like his company’s ChatGPT were a “significant area of concern”, Mr Altman told the Senate Judiciary Subcommittee on Privacy, Technology and the Law “I am nervous about it,” he said about elections and AI, adding rules and guidelines are needed. For months, companies large and small have raced to bring increasingly versatile AI to market, throwing endless data and billions of dollars at the challenge. Some critics fear the technology will exacerbate societal harms, among them prejudice and misinformation, while others warn AI could end humanity itself. “There’s no way to put this genie in the bottle. Globally, this is exploding,” said Senator Cory Booker, one of many lawmakers with questions about how best to regulate AI. Senator Mazie Hirono noted the danger of misinformation as the 2024 election nears. “In the election context, for example, I saw a picture of former President Trump being arrested by NYPD and that went viral,” she said, pressing Altman on whether he would consider the faked image harmful. Mr Altman responded that creators should make clear when an image is generated rather than factual. Speaking before Congress for the first time, Mr Altman suggested that, in general, the US should consider licensing and testing requirements for development of AI models. Mr Altman, asked to opine on which AI should be subject to licensing, said a model that can persuade or manipulate a person’s beliefs would be an example of a “great threshold.” He also said companies should have the right to say they do not want their data used for AI training, which is one idea being discussed on Capitol Hill. Mr Altman said, however, that material on the public web would be fair game. Mr Altman also said he “wouldn’t say never” to the idea of advertising but preferred a subscription-based model. The White House has convened top technology CEOs including Mr Altman to address AI. US lawmakers likewise are seeking action to further the technology’s benefits and national security while limiting its misuse. Consensus is far from certain. An OpenAI staffer recently proposed the creation of a U.S. licensing agency for AI, which could be called the Office for AI Safety and Infrastructure Security (OASIS). OpenAI is backed by Microsoft. Mr Altman is also calling for global cooperation on AI and incentives for safety compliance. Christina Montgomery, International Business Machines Corp chief privacy and trust officer, urged Congress to focus regulation on areas with the potential to do the greatest societal harm. Gary Marcus, a Professor Emeritus at New York University, was also on the panel, and expressed his concerns about the rapid development of artificial intelligence. “We have built machines that are like bulls in a china shop: Powerful, wreckless and difficult to control,” he said. Senator Blumenthal responded by saying it was more like “a bomb in a china shop”. Additional reporting from agencies. Read More ChatGPT is finally connected to the web after huge OpenAI update Regulation ‘critical’ to curb risk posed by AI, boss of ChatGPT tells Congress Watch as OpenAI CEO faces questions from Congress on potential AI regulation Sam Altman testifies before Congress saying there is ‘urgent’ need for regulation

Mark Zuckerberg’s big bet on the metaverse has now lost $40 billion – and the company intends to lose even more. The huge figures were revealed as part of Meta’s latest results, which generally showed a strong rise in advertising revenue. But they also showed an increase in expenses at the company, with the development not only of the metaverse but also artificial intelligence and legal fees. Meta has been dramatically cutting costs and laying off staff. But at the same time it has been spending heavily on some projects, such as the metaverse, in the face of criticism from those who suggest that the bet is unlikely to pay off. That work on the metaverse is done by the company’s Reality Labs unit, which is responsible for developing technology like augmented reality glasses. It reported sales of $276 million, down from $452 million in the same quarter last year. The unit lost $3.7 billion in the second quarter, putting it on track to have far higher costs than the $5 billion annual target set out in a widely circulated investor note in the fall. The unit has lost more than $40 billion since 2021, including $13.7 billion last year. Meta said it expected Reality Labs operating losses to “increase meaningfully” in 2024 as the company continued to invest in augmented and virtual reality and “scale our ecosystem.” Zuckerberg had previously said Meta would “pace” investments in the division after 2023. He told investors he understood why many of them would feel discomfort over such a long-term bet. But the positive results across the company pushed Meta shares up 7.5 per cent. “We continue to see strong engagement across our apps and we have the most exciting roadmap I’ve seen in a while with Llama 2, Threads, Reels, new AI products in the pipeline, and the launch of Quest 3 this fall,” Meta chief executive Mark Zuckerberg said. Meta’s second-quarter revenue grew 11% to $32 billion in the quarter ended June 30, compared with analysts’ average estimate of $31.12 billion. Ad revenue rose 12% in the quarter, faster than growth at Google, where ad revenue rose 3%. Adjusted earnings per share of $2.98 topped Wall Street targets of $2.91, according to data from Refinitiv. The social media giant has been climbing back from a bruising 2022, buoyed by hype around emerging AI technology and an austerity drive in which it has shed around 21,000 employees since last fall. The company’s shares have more than doubled in value this year as a result. Advertisers are reinforcing those gains by pumping money into digital ads again after months of muted spending, heartened by signs that the economy may overcome a bout of high inflation without suffering a major meltdown. Brands are hedging their bets, however, and sticking with tried and true platforms. That helps Meta and Alphabet while punishing smaller players like Snap, which reported disappointing sales on Tuesday. Meta’s revenue forecast did not specify whether the figure includes any sales that might come from the recently launched Threads app, which does not yet have ads. Additional reporting by Reuters Read More Elon Musk’s ‘X’ is already trademarked by Mark Zuckerberg How Mark Zuckerberg’s new ChatGPT rival could lead to ‘obscene’ AI Meta unveils its ChatGPT rival Llama Here’s how to claim your share of $725m settlement in Facebook’s privacy lawsuit Elon Musk forces firms to pay X $1,000 to keep gold ticks Slack has stopped working

Binance is accelerating a move away from its exchange-branded stablecoin by offering incentives for customers of the world’s

Elon Musk’s brain chip company Neuralink said on Thursday that it now has regulatory approval in the US to test its implants in human subjects. Neuralink has been building chips to be implanted into the skull for a brain-computer interface, claiming their development has the potential to help restore vision in the blind, and even help paralysed people walk again. While Mr Musk has said on several occasions since 2019 that the company is ready to go for experiments in humans to treat paralysis and blindness, the US Food and Drug Administration (FDA) had however rejected proposals by the company to begin human clinical trials. For instance, in early 2022, when Neuralink applied for human testing, the FDA rejected the proposal saying there were “dozens of issues the company must address”. These issues flagged by the FDA included the use of lithium batteries in Neuralink’s device and the likelihood of the implant’s wires interfering with the brain. The federal agency also expressed concerns about whether the firm’s implants can be removed without causing brain damage. Neuralink has also come under the scanner of at least one US government probe after animal rights watchdogs accused the firm of “inadequate care” of its research monkeys. Reuters previously reported that the brain chip company killed about 1,500 animals, including over 280 sheep, pigs and monkeys since 2018. The US Department of Agriculture also began investigating Neuralink’s potential violations of the Animal Welfare Act. Responding to the animal abuse complaints, the company said in a blogpost that it was “absolutely committed to working with animals in the most humane and ethical way possible”. “The use of every animal was extensively planned and considered to balance scientific discovery with the ethical use of animals,” it said. In a tweet in November last year, Mr Musk said he was confident that Neuralink’s device was “ready for humans”, adding that the timing for beginning human trials was a “function of working through the FDA approval process”. “We want to be extremely careful and certain that it will work well before putting a device into a human but we’ve submitted I think most of our paperwork to the FDA and probably in about six months we should be able to upload Neuralink in a human,” the Tesla and SpaceX chief said. On Thursday, the company said it has finally received approval from the federal agency to begin trials in humans. “We are excited to share that we have received the FDA’s approval to launch our first-in-human clinical study!” the brain chip company said. The FDA approval “represents an important first step that will one day allow our technology to help many people”, Neuralink said, adding that it would soon announce more information on the recruitment of people for clinical trials. FDA hasn’t immediately responded to The Independent‘s queries on the Neuralink approval claim. Read More What is superintelligence? How AI could replace humans as the dominant lifeform on Earth Elon Musk’s Neuralink probed over shipment of ‘contaminated’ devices from ‘infected’ monkey brains When sci-fi becomes reality: could brain-machine interfaces be right around the corner?

ANAHEIM, Calif.--(BUSINESS WIRE)--Aug 3, 2023--

Nasa has built an artificial intelligence model to predict where on Earth an impending solar storm would strike, a new system that scientists said can provide “30 minutes of advance warning”. The AI model analyses Nasa satellite data to raise the alarm on dangerous space weather, said researchers from the American space agency’s Goddard Space Center. The warning may provide just enough time for countries to prevent severe impacts of these storms on power grids and other critical infrastructure, according to the new study published recently in the journal Space Weather. Solar storms are caused when the Sun emits a burst of electrically charged plasma in what is called a coronal mass ejection. These charged particles create so-called geomagnetic storms that may cause blackouts and technological malfunctions of instruments on Earth as they interfere with the protective magnetic field around the planet. While these storms range from mild to extreme, their effects could become increasingly disruptive in a technologically dependent world. For instance, a solar storm in 1989 caused blackouts across Quebec, Canada for 12 hours, plunging millions into the dark and closing schools and businesses. Another popular solar superstorm event known as the Carrington Event sparked fires at early telegraph stations in 1859 that prevented messages from being sent. Scientists warned that the risk of such a devastating solar storm is increasing as we approach the next “solar maximum” – a peak in the Sun’s 11-year activity cycle. To prevent such a devastation, Nasa scientists developed the new AI model to identify links between solar wind measurements from previous Sun missions and geomagnetic disturbances observed at ground stations across Earth. The computer model they developed, called DAGGER, can quickly and accurately predict geomagnetic disturbances worldwide, “30 minutes before they occur,” researchers said. When they tested the model against two geomagnetic storms that happened in August 2011 and March 2015, it was able to “quickly and accurately” forecast the storm’s impacts around the world. The new prediction system is the first to combine swift analysis of AI, with real measurements from space and across Earth to generate frequently updated predictions. Scientists believe the early warning provided by the system can help take action to protect infrastructure from an impending solar storm, such as temporarily taking sensitive systems offline or moving satellites to different orbits. Read More Stunning aurora lights up skies over Australia: ‘Brightest one I’ve ever seen’ How a severe solar storm could leave a lasting impact on our world The world is not yet ready to overcome a once-in-a-century solar superstorm, warn scientists Astronomers find ‘objects that no one has ever seen before’ Saturn’s rings are no more than 400 million years old – study Strange sounds recorded by balloons in stratosphere leave scientists puzzled

UPDATE: May. 12, 2023, 2:00 p.m. EDT This list has been updated with the latest

The defence department wants a new office for insider threats and systems to detect electronic devices.

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