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CHARLESTON, W.V.--(BUSINESS WIRE)--Sep 7, 2023--

The Biden administration needs to toughen trade enforcement to guard against unfair competition from Chinese solar suppliers as

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An algorithm has spotted a nearly 600-foot, potentially hazardous asteroid near Earth. The tool is intended to find dangerous objects in Earth’s vicinity, to allow scientists to better track them and understand any threat they might pose. The new discovery is the system’s first detection of a “potentially hazardous” asteroid, a term that is used for those rocks that are near enough and possibly threatening enough to cause a danger to Earth. An asteroid gets the designation if it is within about 5 million miles of Earth’s orbit. The asteroid, known as 2022 SF289, does not pose any threat to Earth for the foreseeable future. Its closest approach brings it 140,000 miles from Earth – closer to us than the Moon, but still far enough away to be safe. But the creators of the algorithm said that it showed that the system could be used to detect others in the future – some of which may pose a threat to life on Earth. “By demonstrating the real-world effectiveness of the software that Rubin will use to look for thousands of yet-unknown potentially hazardous asteroids, the discovery of 2022 SF289 makes us all safer,” said scientist Ari Heinze, the principal developer of the algorithm, known as HelioLinc3D. Astronomers are looking forward to switching on the Vera C. Rubin Observatory, in Chile, in 2025. It will allow for a much more detailed view of the night sky. They hope that it can be used to spot more potentially hazardous asteroids, or PHAs. But the extra detail will also make more work for those poring through the data to find them, and so algorithms will be important to helping that work. HelioLinc3D is one such algorithm, and was built specifically to find asteroids within the Rubin observatory’s dataset. Though the equipment is not yet switched on, its creators looked to test whether it would successfully be able to find asteroids when it is looking through that data. The discovery of 2022 SF289 suggests that it will be. It was found in data from the ATLAS survey, based in Hawaii. ATLAS had actually seen the object three times on four separate nights, but an asteroid has to be seen four times on one night to be identified as a near-Earth object. “Any survey will have difficulty discovering objects like 2022 SF289 that are near its sensitivity limit, but HelioLinc3D shows that it is possible to recover these faint objects as long as they are visible over several nights,” said Denneau. “This in effect gives us a ‘bigger, better’ telescope.” Until now it had also been missed because it was passing in front of the busy and bright stars of the Milky Way. But scientists were able to confirm the existence of the object by looking back through data when they knew where to look. Scientists are aware of 2,350 PHAs already, but expect there are 3,000 out there waiting to be found. “This is just a small taste of what to expect with the Rubin Observatory in less than two years, when HelioLinc3D will be discovering an object like this every night,” said Rubin scientist Mario Jurić, director of the DiRAC Institute, professor of astronomy at the University of Washington and leader of the team behind HelioLinc3D. “But more broadly, it’s a preview of the coming era of data-intensive astronomy. From HelioLinc3D to AI-assisted codes, the next decade of discovery will be a story of advancement in algorithms as much as in new, large, telescopes.” Read More Reddit closes Place after obscene protests Kenya suspends eyeball-scanning crypto worldcoin Google warns Gmail users they could be about to lose their account Reddit closes Place after obscene protests Kenya suspends eyeball-scanning crypto worldcoin Google warns Gmail users they could be about to lose their account

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Artificial intelligence (AI) can generate Caucasian faces that seem more realistic than actual human faces, according to a new study. As per the research, published in Psychological Science and led by experts at the Australian National University (ANU), more people thought the AI-generated white faces were human than the faces of real people. The study found, however, that the same did not apply to faces generated of people of colour. If white AI faces are consistently perceived as more realistic, this technology could have profound implications for people of colour by ultimately reinforcing racial biases online Dr Amy Dawel According to senior author of the paper, Dr Amy Dawel, the reason for the notable difference between generated Caucasian faces and people of colour comes down to the fact that AI algorithms are trained disproportionately on white faces. Dr Dawel said: “If white AI faces are consistently perceived as more realistic, this technology could have profound implications for people of colour by ultimately reinforcing racial biases online. “This problem is already apparent in current AI technologies used to create professional-looking headshots. “When used for people of colour, the AI is altering their skin and eye colour to those of white people.” Researchers found when it comes to AI “hyper-realism”, most people did not realise they were being fooled. Study co-author and ANU PhD candidate Elizabeth Miller said researchers found that most of the study participants who were most confident that their answers were correct paradoxically thought that the AI faces were real. She said: “This means people who are mistaking AI imposters for real people don’t know they are being tricked.” The researchers were also able to discover why AI faces are fooling people. Although there were still physical differences between the AI and human faces, study participants still managed to misinterpret them. Dr Dawel revealed more in-proportion faces were typical signs that AI had generated a face. However, people mistook it as a sign of humanness. She added: “We can’t rely on these physical cues for long. AI technology is advancing so quickly that the differences between AI and human faces will probably disappear soon.” She said this could have profound implications regarding online misinformation and identity theft. Dr Dawel urged public transparency around AI so society can identify issues with the technology before they become more significant problems. “Given that humans can no longer detect AI faces, society needs tools that can accurately identify AI imposters,” she said. “Educating people about the perceived realism of AI faces could help make the public appropriately sceptical about the images they’re seeing online.” Read More AI among the biggest threats to the UK, cyber security agency warns Meta faces renewed criticism over end-to-end encryption amid child safety fears Call of Duty launch sparks record traffic on broadband networks Crypto investment fraud warning issued by major bank Council investigating extent of cyber attack that affected website and systems Setback for Ireland as EU legal adviser recommends revisit of Apple tax case

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