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Former five-star defensive end Williams Nwaneri transfers from Missouri to NebraskaA New Jersey congressman doubled down Thursday on his claim that the mysterious night-flying drones that have been reported across the state are coming from an Iranian ship off the East Coast. U.S. Rep. Jeff Van Drew , R-2nd Dist. cited a Business Insider article from Dec. 5 which stated there was satellite confirmation of the departure of a militarized drone ship from its port in Iran. The article says the ship left its port between Nov. 12 and Nov. 28, which Drew said aligns with the timeframe of when drones first began appearing over New Jersey. “While the Pentagon and the Governor may try to dismiss the idea of an Iranian drone ship, we now have additional confirmation that this ship exists and it is no longer in its port,” Van Drew said in a statement. “I am not claiming that this ship is stationed right off the coast of New Jersey, but we certainly have to explore the possibility it is somewhere out in the ocean.” Van Drew said the coincidence is “too great too ignore.” “The U.S. Coast Guard reported that one of their ships was trailed by several dozen drones while commercial fishermen and local law enforcement have reported observations of drones flying in and out of the Atlantic Ocean, and if that is the case, they have to be landing somewhere,” he added. The congressman said the drones are reportedly the size of minivans, meaning that they are not the “work of some backyard hobbyist” and that the source is either the U.S. government or a “foreign adversary.” “The government has repeatedly denied any involvement, so we are left with only one option to believe,” he said. “While we still do not have clear answers on who is operating the drones over New Jersey or their purpose, it is our job to fully consider all the evidence and explore every possibility.” When our national security is on the line, it is reckless to rule any possibility out,” he continued. “The American people deserve nothing less than our full commitment to finding out the truth.” Gov. Phil Murphy and other law enforcement officials, including county prosecutors, have said there is no evidence the unexplained drones pose a threat to the state and have called for any sightings to be reported to the FBI, which has been investigating the sightings statewide. A spokesperson for the federal Department of Defense’s U.S. Northern Command said this week that there is no evidence Van Drew’s theory is correct. At a press briefing on Thursday, a White House spokesman said Thursday that most of the drone sightings are likely just planes . “Upon review of available imagery, it appears that many of the reported sightings are actually manned aircraft that are being operated lawfully,” said John Kirby, the Biden administration’s national security spokesman. There have been multiple reports of the drones appearing over military bases, including Naval Weapons Station Earle , which is located in Colts Neck in Monmouth County. That base had two reports of drones in its airspace , facility spokesman William Addison said Thursday. Naval Weapons Station Earle is at least the second New Jersey military base to report drone sightings after Picatinny Arsenal in Morris County said it had at least 11 confirmed drone sightings in recent weeks. In a joint statement released Thursday evening, the FBI and U.S. Department of Homeland Security said they continue to investigate the reports of drone sightings to determine if the aircraft were actually drones or planes. “We have no evidence at this time that the reported drone sightings pose a national security or public safety threat or have a foreign nexus,” the two agencies said. “The FBI, DHS and our federal partners, in close coordination with the New Jersey State Police, continue to deploy personnel and technology to investigate this situation and confirm whether the reported drone flights are actually drones or are instead manned aircraft or otherwise inaccurate sightings.” “Historically, we have experienced cases of mistaken identity, where reported drones are, in fact, manned aircraft or facilities,” the agencies added. “We are supporting local law enforcement in New Jersey with numerous detection methods but have not corroborated any of the reported visual sightings with electronic detection,” the FBI and DHS said. “To the contrary, upon review of available imagery, it appears that many of the reported sightings are actually manned aircraft, operating lawfully. There are no reported or confirmed drone sightings in any restricted air space.” Stories by Chris Sheldon Driver arrested after hitting child, grandmother who were crossing in front of school bus Man admits stabbing N.J. store clerk Powerball winning numbers, live results for Wednesday’s $30M drawing Please consider supporting NJ.com with a voluntary subscription. Chris Sheldon may be reached at csheldon@njadvancemedia.com .
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SANTA CLARA, Calif. — Building the current crop of artificial intelligence chatbots has relied on specialized computer chips pioneered by Nvidia, which dominates the market and made itself the poster child of the AI boom. But the same qualities that make those graphics processor chips, or GPUs, so effective at creating powerful AI systems from scratch make them less efficient at putting AI products to work. That’s opened up the AI chip industry to rivals who think they can compete with Nvidia in selling so-called AI inference chips that are more attuned to the day-to-day running of AI tools and designed to reduce some of the huge computing costs of generative AI. “These companies are seeing opportunity for that kind of specialized hardware,” said Jacob Feldgoise, an analyst at Georgetown University’s Center for Security and Emerging Technology. “The broader the adoption of these models, the more compute will be needed for inference and the more demand there will be for inference chips.” It takes a lot of computing power to make an AI chatbot. It starts with a process called training or pretraining — the “P” in ChatGPT — that involves AI systems “learning” from the patterns of huge troves of data. GPUs are good at doing that work because they can run many calculations at a time on a network of devices in communication with each other. However, once trained, a generative AI tool still needs chips to do the work — such as when you ask a chatbot to compose a document or generate an image. That’s where inferencing comes in. A trained AI model must take in new information and make inferences from what it already knows to produce a response. GPUs can do that work, too. But it can be a bit like using a sledgehammer to crack a nut. “With training, you’re doing a lot heavier, a lot more work. With inferencing, that’s a lighter weight,” said Forrester analyst Alvin Nguyen. That’s led startups like Cerebras, Groq and d-Matrix as well as Nvidia’s traditional chipmaking rivals — such as AMD and Intel — to pitch more inference-friendly chips as Nvidia focuses on meeting the huge demand from bigger tech companies for its higher-end hardware. D-Matrix was founded in 2019 — a bit late to the AI chip game, as CEO Sid Sheth explained during a recent interview at the company’s headquarters in Santa Clara, California, the same Silicon Valley city that’s also home to AMD, Intel and Nvidia. “There were already 100-plus companies. So when we went out there, the first reaction we got was ‘you’re too late,’” he said. The pandemic’s arrival six months later didn’t help as the tech industry pivoted to focus on software to serve remote work. Now, however, Sheth sees a big market in AI inferencing, comparing that later stage of machine learning to how human beings apply the knowledge they acquired in school. “We spent the first 20 years of our lives going to school, educating ourselves. That’s training, right?” he said. “And then the next 40 years of your life, you kind of go out there and apply that knowledge — and then you get rewarded for being efficient.” The product, called Corsair, consists of two chips with four chiplets each, made by Taiwan Semiconductor Manufacturing Co. — the same manufacturer of most of Nvidia’s chips — and packaged together in a way that helps to keep them cool. The chips are designed in Santa Clara, assembled in Taiwan and then tested back in California. Testing is a long process and can take six months — if anything is off, it can be sent back to Taiwan. D-Matrix workers were doing final testing on the chips during a recent visit to a laboratory with blue metal desks covered with cables, motherboards and computers, with a cold server room next door. While tech giants like Amazon, Google, Meta and Microsoft have been gobbling up the supply of costly GPUs in a race to outdo each other in AI development, makers of AI inference chips are aiming for a broader clientele. Forrester’s Nguyen said that could include Fortune 500 companies that want to make use of new generative AI technology without having to build their own AI infrastructure. Sheth said he expects a strong interest in AI video generation. “The dream of AI for a lot of these enterprise companies is you can use your own enterprise data,” Nguyen said. “Buying (AI inference chips) should be cheaper than buying the ultimate GPUs from Nvidia and others. But I think there’s going to be a learning curve in terms of integrating it.” Feldgoise said that, unlike training-focused chips, AI inference work prioritizes how fast a person will get a chatbot’s response. He said another whole set of companies is developing AI hardware for inference that can run not just in big data centers but locally on desktop computers, laptops and phones. Better-designed chips could bring down the huge costs of running AI to businesses. That could also affect the environmental and energy costs for everyone else. Sheth says the big concern right now is, “are we going to burn the planet down in our quest for what people call AGI — human-like intelligence?” It’s still fuzzy when AI might get to the point of artificial general intelligence — predictions range from a few years to decades. But, Sheth notes, only a handful of tech giants are on that quest. “But then what about the rest?” he said. “They cannot be put on the same path.” Get local news delivered to your inbox!ConnectM Announces Receipt of Notice from Nasdaq Regarding Delayed Filing of Company’s Quarterly Report
Creating scoring chances is not just about individual talent but also about collective understanding, movement, and communication on the field. Arsenal's offensive struggles can be attributed to a lack of cohesion and a tendency to rely on individual moments of brilliance rather than sustained team effort. Without a clear game plan or a systematic approach to creating opportunities, the Gunners often find themselves isolated and disjointed in the final third, making it easy for opponents to neutralize their attacking threat.
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