Although he's entangled in the larger web created by the Russia probes, Manafort previously disclosed this meeting to congressional investigators before Trump Jr. leaked his emails -- but he wasn't required to disclose the content of it. Now the question is why did he attend Trump Jr.'s meeting at all? Given he was just a few weeks into his role as chairman (and considering he has an apartment in Trump Tower, where the meeting was held) it's possible he felt an obligation to attend, especially after his boss's son requested as much. And while it's possible he wasn't aware that a Russian government lawyer would be there, it's hard to believe he didn't know that the meeting would be Russia related in some way, considering the email chain's subject line alone. But those close to Manafort maintain he's done nothing wrong -- in fact, they think Manafort's involvement in this whole thing is completely unlike that of Trump Jr. and Jared Kushner, who was also at the meeting. And the same goes for how they view his retroactive registration as a foreign agent.

It's been five months since Google self-driving car spinoff Waymo filed its bombshell lawsuit alleging Uber swiped its trade secrets, and as the October court date approaches, the phalanxes of high-powered attorneys on each side are maneuvering into battle formation. But absent a smoking gun, Waymo will attempt to weave together a series of not-so-pretty facts--that Levandowski has asserted his Fifth Amendment right, and that Uber knew about the swiped info before it acquired a company founded by Levandowski--into a narrative that culminates with Uber knowingly stealing self-driving tech. The fight here will focus on a due diligence report, Uber's detailed accounting of its security steps during the Otto acquisition process, when trade secrets might have slipped into the Uber bloodstream. In early 2016, well before Uber officially acquired Otto in August, Uber lawyers say Levandowski told Otto cofounder Lior Ron that "he had found five discs in his home that contained Google information."

The FCA would utilize "supervised machine-learning from these analytics," Cook said, and "unsupervised AI" to detect financial irregularities. He added: "We're looking at these underlying technology approaches and regtech solutions to try and see how we can employ them internally to be more efficient and to better identify which solution (works) for the financial markets." Cook said that the U.K. regulator was working with global regulators as well as regtech companies to showcase its work and to learn from others around the world. He said: "A lot of our fintech over the last year has been looking into regtech's application for ourselves as well, and encouraging and bringing other international regulators to the table. We take a very active role in trying to expand the regtech discussion globally. Equally though, we seek to learn what's going on elsewhere."

DoNotPay, an artificial intelligence based chatbot, which provides free legal counsel using artificial intelligence, will be available in all 50 states starting Wednesday. The chatbot has been developed by Joshua Browder, a British entrepreneur who calls it the world's first robot lawyer. The bot has helped defeat 375,000 parking tickets in a span of over two years in cities such as New York, Seattle, and London. According to Browder, DoNotPay is yet to face legal repercussions from the government. But instead of becoming an aberration, it might actually be helpful in government processes.

Over two years ago, Joshua Browder, now a junior at Stanford University, created a chatbot that could contest parking tickets in New York City and London. By June of 2016, DoNotPay had successfully contested 160,000 parking tickets -- a 64 percent success rate -- and earlier this year, Browder added capabilities to assist asylum seekers in the US, UK and Canada. Now, the bot is able to assist with over 1,000 different legal issues in all 50 states and across the UK. To use DoNotPay's AI-assisted help, you just type your problem into its search bar and links to relevant aid pop up that are specific to your location. After you navigate through different options, a chatbot then asks you questions and puts together a letter or other legal documentation.

Microsoft's earlier chatbot Tay had faced some problems as the bot picking up the worst of humanity, and spouted racists, sexist comments on Twitter when it was introduced last year. Now it looks like Microsoft's latest bot called'Zo' has caused similar trouble, though not quite the scandal that Tay caused on Twitter. According to a BuzzFeed News report, 'Zo', which is part of the Kik messenger, told their reporter the'Quran' was very violent, and this was in response to a question around healthcare. The report also highlights how Zo had an opinion about the Osama Bin Laden capture, and said this was the result of the'intelligence' gathering by one administration for years. While Microsoft has admitted the errors in Zo's behaviour and said they have been fixed.

ROSS Intelligence and Sedgwick LLP are pleased to announce their partnership. Sedgwick will bringing the power of ROSS Intelligence's advanced artificial intelligence (AI) to its Creditors' Rights and Bankruptcy group. "We are excited to be on the cutting edge of new technology to provide superior and more efficient service to our clients," said Mike Healy, Sedgwick Chair of the Firm. "Our firm's Creditors' Rights and Bankruptcy Practice is already using AI to enhance our legal research, making it faster to analyze complex legal issues and to discover relevant'connect-the-dots' information that otherwise might go unnoticed. This technology will allow us to best represent, protect and advance the interests of our clients."

The recent success of neural networks in applications such as speech recognition, vision and autonomous navigation has led to great excitement by members of the artificial intelligence (AI) community and the general public at large. Over a relatively short period, by the science clock, we managed to automate some tasks that have defied us for decades and using one of the more classical techniques coming out of artificial intelligence research. The triumph over these achievements has led some to describe the automation of these tasks as having reached human level intelligence. This perception, originally hinted at in academic circles, has been gaining momentum more broadly and is leading to some implications. For example, a trend is emerging in which machine learning research is being streamlined into neural network research, under its newly acquired label "deep learning." This perception has also caused some to question the wisdom of continuing to invest in other machine learning approaches, or even mainstream areas of artificial intelligence, such as knowledge representation, symbolic reasoning and planning. Some coverage of AI in public arenas, particularly comments made by some visible figures, has led to mixing this excitement with fear of what AI may be bringing us in the future (i.e., doomsday scenarios).

Last year, a Florida man became the first person to die in a crash involving autonomous driving technology. Forty-year-old Joshua Brown had his hands off the wheel when his car slammed into a semi-trailer making a left turn across his lane. The incident caused considerable consternation in the media, not the least for underlining the glaring absence of autonomous vehicle (AV) regulations then in place. "The fatal crash," the Los Angeles Times said, "highlighted what some say is a gaping pothole on the road to self-driving vehicles: the lack of federal rules." The newspaper had a point.

Microsoft Corp. is setting up a new research lab focused on artificial intelligence with the goal of creating more general-purpose learning systems. The new lab, called Microsoft Research AI, will be based at the company's headquarters in Redmond, Washington, and involve more than 100 scientists from across various sub-fields of artificial intelligence research, including perception, learning, reasoning and natural language processing. The goal, said Eric Horvitz, the director of Microsoft Research Labs, is to combine these disciplines to work toward more general artificial intelligence, meaning a single system that can tackle a wide-range of tasks and problems. Such a system, for instance, might be able to both plan the best route to drive through a city and also figure out how to minimize your income tax bill, while also understanding difficult human concepts like sarcasm or gestures. This differs from so-called narrow AIs, which are just designed to perform a single task well -- for instance, recognize faces in digital photographs.