Fox News White House correspondent Peter Doocy provides details on the latest revelations from the Hunter Biden investigation. Hunter Biden filed a lawsuit against former President Donald Trump aide Garrett Ziegler on Wednesday, alleging that Ziegler had violated federal computer laws by hacking into the now-infamous laptop that was left in a Delaware repair shop in 2019. The lawsuit, filed in Los Angeles, accuses Ziegler and his company -- Marco Polo USA -- and 10 unidentified associates of spreading "tens of thousands of emails, thousands of photos, and dozens of videos and recordings" that were considered "pornographic" on the laptop. Ziegler's company website claims to be a nonprofit research group "exposing corruption & blackmail." The website has several sections pertaining to Biden's laptop, including his emails, text messages, phone calls and financial data that culminates into a massive "online searchable database."

IRS Agent Joseph Ziegler joins'Special Report' to respond to critiques of hearing, letters from Del. prosecutor. The IRS special agent-turned-whistleblower formerly known as "Mr. X." spoke out to Fox News on Friday following an at-times contentious congressional hearing earlier this week. Joseph Ziegler, who came forward to Congress along with his colleague, Gary Shapley, said his team uncovered "a ton of evidence" that proved Hunter Biden allegedly willfully evaded or fraudulently filed his taxes, which set him apart from a typical IRS investigatory subject that would be faced with civil fines. Ziegler also told "Special Report" the ultimate reason he came forward as a whistleblower was that he saw many instances where federal officials were not following proper procedures.

As the world races to deploy speedy 5G mobile networks on the ground, some companies remain focused on floating cell towers in the sky. During the final session of the sixth annual Brooklyn 5G Summit on Thursday, Silicon Valley and telecom leaders discussed whether aerial drones and balloons could finally begin providing commercial mobile phone and Internet service from the air. That same day, Alphabet subsidiary Loon, a balloon-focused graduate of the Google X research lab, unveiled a strategic partnership with Softbank's HAPSMobile to leverage both solar-powered balloons and drones to expand mobile Internet coverage and aid in deploying 5G networks. No high-altitude network connectivity services have taken off commercially so far, but some Brooklyn 5G Summit speakers were optimistic that it would happen soon. "The opportunity is in our hands in terms of truly leveraging 5G in conjunction with the massive paradigm shift when it comes to UAS--drones--and also satellites," said Volker Ziegler, CTO at Nokia Bell Labs.

Several contemporary artists tackling the social implications of technology have been banned by censors from China's upcoming Guangzhou Triennial. One of them was Heather Dewey-Hagborg, whose works often critique biotechnology, notably including portraits derived from the DNA of Chelsea Manning. She woke up last on December 8th to an email from one of the show's three curators, Angelique Spaninks, explaining that her piece T3511 was being pulled last-minute. The triennial, titled "As We May Think, Feedforward," explores the links between humanity and technology and opens on December 21st. Spaninks told Dewey-Hagborg that her work was censored by the government, and while she was given no official justification, speculated that authorities were sensitive to bioethics issues.

Recommender systems relying on latent factor models often appear as black boxes to their users. Semantic descriptions for the factors might help to mitigate this problem. Achieving this automatically is, however, a non-straightforward task due to the models' statistical nature. We present an output-agreement game that represents factors by means of sample items and motivates players to create such descriptions. A user study shows that the collected output actually reflects real-world characteristics of the factors.

Meticulous research, deep study of case law, and intricate argument-building--lawyers have used similar methods to ply their trade for hundreds of years. But they'd better watch out, because artificial intelligence is moving in on the field. As of 2016, there were over 1,300,000 licensed lawyers and 200,000 paralegals in the U.S. Consultancy group McKinsey estimates that 22 percent of a lawyer's job and 35 percent of a law clerk's job can be automated, which means that while humanity won't be completely overtaken, major businesses and career adjustments aren't far off (see "Is Technology About to Decimate White-Collar Work?"). "If I was the parent of a law student, I would be concerned a bit," says Todd Solomon, a partner at the law firm McDermott Will & Emery, based in Chicago. "There are fewer opportunities for young lawyers to get trained, and that's the case outside of AI already. But if you add AI onto that, there are ways that is advancement, and there are ways it is hurting us as well."

Meticulous research, deep study of case law, and intricate argument-building--lawyers have used similar methods to ply their trade for hundreds of years. But they'd better watch out, because artificial intelligence is moving in on the field. As of 2016, there were over 1,300,000 licensed lawyers and 200,000 paralegals in the U.S. Consultancy group McKinsey estimates that 22 percent of a lawyer's job and 35 percent of a law clerk's job can be automated, which means that while humanity won't be completely overtaken, major businesses and career adjustments aren't far off (see "Is Technology About to Decimate White-Collar Work?"). In some cases, they're already here. "If I was the parent of a law student, I would be concerned a bit," says Todd Solomon, a partner at the law firm McDermott Will & Emery, based in Chicago.

Meticulous research, deep study of case law, and intricate argument-building--lawyers have used similar methods to ply their trade for hundreds of years. But they'd better watch out, because artificial intelligence is moving in on the field. As of 2016, there were over 1,300,000 licensed lawyers and 200,000 paralegals in the U.S. Consultancy group McKinsey estimates that 22 percent of a lawyer's job and 35 percent of a law clerk's job can be automated, which means that while humanity won't be completely overtaken, major businesses and career adjustments aren't far off (see "Is Technology About to Decimate White-Collar Work?"). In some cases, they're already here. "If I was the parent of a law student, I would be concerned a bit," says Todd Solomon, a partner at the law firm McDermott Will & Emery, based in Chicago.

Meticulous research, deep study of case law, and intricate argument-building--lawyers have used similar methods to ply their trade for hundreds of years. But they'd better watch out, because artificial intelligence is moving in on the field. As of 2016, there were over 1,300,000 licensed lawyers and 200,000 paralegals in the U.S. Research group McKinsey estimates that 22 percent of a lawyer's job and 35 percent of a law clerk's job can be automated, which means that while humanity won't be completely overtaken, major businesses and career adjustments aren't far off (see "Is Technology About to Decimate White-Collar Work?"). "If I was the parent of a law student, I would be concerned a bit," says Todd Solomon, a partner at the law firm McDermott Will & Emery, based in Chicago. "There are fewer opportunities for young lawyers to get trained, and that's the case outside of AI already. But if you add AI onto that, there are ways that is advancement, and there are ways it is hurting us as well."

The public is riveted by artificial intelligence, but most people don't have a clue what "AI" actually is. Media hype and populist stories confuse rather than clarify. How does popular perception impact the vast array of Silicon Valley companies building actual AI products and services? We spoke to leading entrepreneurs and executives to learn their unique challenges with selling and marketing AI. Not surprisingly, the biggest challenge AI entrepreneurs collectively identified was lack of buyer understanding regarding what AI entails and requires.