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L.A. County residents illegally exported 'sensitive' high-power AI microchips to China, feds allege

Los Angeles Times

Two Los Angeles County residents face federal charges after they were arrested on suspicion of illegally exporting tens of millions of dollars' worth of artificial intelligence microchips to China, authorities said. Chuan Geng, 28, of Pasadena; and Shiwei Yang, 28, of El Monte, were taken into custody on Saturday for their alleged involvement in the illegal overseas export of processing units used in modern computing and artificial intelligence applications, according to a statement from the U.S. attorney's office for the Eastern District of California. Federal prosecutors said both were Chinese nationals, though Geng is a lawful permanent resident of the U.S. Yang, however, was in the country illegally as she had overstayed her visa, according to authorities. Yaoning'Mike' Sun of Chino Hills is charged with acting as an illegal agent of a foreign power and conspiring to advance China-friendly policies in local government. In a criminal complaint, U.S. Justice Department officials alleged the pair had "knowingly and willingly" undercut federal export regulations to conceal illegal shipments to China for nearly three years.


How strong is the New York case against Donald Trump?

Al Jazeera

Days of flurrying speculation gave way on Tuesday to the official reveal of the 34 felony charges against former US President and 2024 Republican hopeful Donald Trump. In an arraignment in Manhattan's criminal court that was watched the world over, in an unsealed indictment and statement of facts, and in a news conference by New York District Attorney Alvin Bragg, the clearest picture yet of the case against Trump has emerged. But the new details also raised several questions, leaving some legal experts divided on the strength of the case based on what is currently known. Speaking to Al Jazeera, former federal prosecutor Alan Baron said, based on what is known, it appears to be a "very strong case" against Trump. "People who are very familiar with this kind of prosecution in New York are saying that it's very solid," he said. John Malcolm, a former federal prosecutor and legal expert at the Heritage Foundation, a conservative think tank said the former president could prevail.


Machine Learning: A Micro Primer with a Lawyer's Perspective

#artificialintelligence

"Machine Learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world." The first step to understanding machine learning is understanding what kinds of problems it intends to solve, based on the foregoing definition. It is principally concerned with mapping data to mathematical models -- allowing us to make inferences (predictions) about measurable phenomena in the world. From the machine learning model's predictions, we can then make rational, informed decisions with increased empirical certainty. Take, for example, the adaptive brightness on your phone screen. Modern phones have front- and rear-facing cameras that allow the phone to constantly detect the intensity of ambient light, and then adjust the brightness of the screen to make it more pleasant for viewing.


13 IT leaders confess their scary stories and deep, dark fears

#artificialintelligence

Today's IT leaders are facing a world of unknowns and underlying fears on a daily basis - from the ransomware that could take down their organizations, to the emergence of new digital disruptors that could render their business obsolete, to the absence of quality IT talent they need to stay ahead of these and other threats. Although scary, it is comforting to know that you are not alone. We asked 13 IT leaders to share their stories of unexpected or frightening events in their career, or the threats on the horizon making them nervous for the future of IT. "A Fortune 500 company had an estimated 500,000 boxes of business records stored with both physical records management vendors and at the company's locations throughout the United States. They pay 2 million per year in box storage alone, but they have no idea what is in the hardcopy business records; the boxes are the'unindexed unknowns.' There is likely a significant risk for PII and PCI given the industry the organization is in. Presently, the company does not have the internal bandwidth nor financial appetite to locate, index, and digitize all of the paper records, thus leaving them extremely vulnerable to a breach."