Arrival Amy Adams stars in this elegant, involving science-fiction drama that is simultaneously old and new, revisiting many alien-invasion conventions but with unexpected intelligence, visual style and heart. Elle Paul Verhoeven's brilliantly booby-trapped thriller starring Isabelle Huppert is a gripping whodunit, a tour de force of psychological suspense and a wickedly droll comedy of manners. The Founder Michael Keaton gives a performance of ratty, reptilian brilliance as Ray Kroc, the American salesman who turned a California burger stand into the global fast-food behemoth that is McDonald's, in John Lee Hancock's shrewd and satisfyingly fat-free biopic. I Am Not Your Negro As directed by the gifted Raoul Peck, this documentary on James Baldwin uses the entire spectrum of movie effects, not only spoken language but also sound, music, editing and all manner of visuals, to create a cinematic essay that is powerful and painfully relevant. La La Land Starring a well-paired Ryan Gosling and Emma Stone, writer-director Damien Chazelle's tuneful tribute to classic movie musicals is often stronger in concept than execution, but it's lovely and transporting all the same.

With yet another big Doraemon movie set for release this March, Bandai Namco has unveiled a new Doraemon themed virtual reality, or VR, experience to tie in with the film. If you are somehow unfamiliar with the phenomenon of Doraemon it started as a manga at the end of the 60's penned by Fujiko Fujio. The premise had a robotic cat called Doraemon from the 22nd century sent back in time to improve the fortunes of the Nobi family due to the prior failings of Nobita Nobi. Doraemon's mission then was to aid Nobita in the past but in typical fashion, the variety of Doraemon's future gadgetry often ended up making things worse but at the very least everybody had a great deal of fun while doing so. What's amazing about Doraemon as a series is that it has lost none of its vitality over the years.

IBM-Machine–Learning-Watson IBM launches machine learning for mainframe computers on the cloud for private companies.

Robbie Barrat is president and founder of their high school computer science club; they created Rapper-Neural-Network, a free software project that uses machine learning trained on a corpus of 6,000 Kanye West lines to autogenerate new rap songs. "It's a neural network that has been trained on rap songs, and can use any lyrics you feed it and write a new song (it now writes word by word as opposed to line by line) that rhymes and has a flow (to an extent)." You an addict of cheating but I took the charge Stop running up my money tall, height advantage Ohhhhh, ohhhh; ohhh you too much to handle in one package Not now but right now, you know... I had to go downtown Shorty come and fix you up like bobby brown Then he help me get my back up in this part of town I can make you come and fix you up like bobby brown Driving in the sky, you got a new crib to hold down Shit's about to go and put my mack berry down

Apple has announced when it will hold its Worldwide Developers Conference, the annual meeting where it reveals the future of its products. The major event will be begin on 5 June and run for four days, the company said. The first day is when Apple traditionally holds its major keynote, introducing the future of its software – with the rest of the days taken up with sessions for developers to learn how to use it. The company is almost certain to reveal iOS 11 and a new version of Mac OS, as well as new software for its other hardware like the Apple Watch and TV. Apple has sometimes used the event to show off new products and services, too.

This story is part of our special coverage, The News in Crisis. When Republican Steve King beat back Democratic challenger Kim Weaver in the race for Iowa's 4th congressional district seat in November, The Washington Post snapped into action, covering both the win and the wider electoral trend. "Republicans retained control of the House and lost only a handful of seats from their commanding majority," the article read, "a stunning reversal of fortune after many GOP leaders feared double-digit losses." The dispatch came with the clarity and verve for which Post reporters are known, with one key difference: It was generated by Heliograf, a bot that made its debut on the Post's website last year and marked the most sophisticated use of artificial intelligence in journalism to date. When Jeff Bezos bought the Post back in 2013, AI-powered journalism was in its infancy.

A seven-year-old girl from Hereford who penned a letter to Google asking for a job, was delighted to receive a personal response from the chief executive himself. Chloe Bridgewater sent a handwritten letter to the tech giant in which she noted her computer skills and her interest in working in a place where she can "sit on bean bags and go down slides". The letter, first published by Business Insider, makes a pretty solid case for hiring Ms Bridgewater. She wrote in it that she is experienced in tablet usage, computer robot games, swimming, spelling, reading, and sums. She even provided reference: "My teachers tell my mum and dad that I am very good in class."

Will Ezra (Rob Heaps) and Richard (Parker Young) finally find Maddie's (Inbar Lavi) true location in Season 1, episode 3 of "Imposters"? At the end of last night's episode, Ezra and Richard arrived at the address they got from the guy they asked to find Maddie using facial recognition technology. But instead of finding the con artist at the said address, the duo found yet another victim of hers: Jules (Marianne Rendón). While Ezra and Richard's facial recognition plan ultimately didn't work out, the synopsis for next week's episode reveals that the pair, along with Jules, will discover a new clue about their ex-lovers' whereabouts. That, however, doesn't guarantee that Ezra and Richard are letting Jules join their search mission.

Law360, New York (February 15, 2017, 12:03 PM EST) -- Bruce J. Heiman Elana R. Reman It's hard to escape reading about the "AI revolution." Artificial intelligence or "AI" computer systems now can simulate surprising human-like processes including learning, decision-making, self-correction, speech and image recognition, reasoning and other tasks we typically think of as requiring "intelligence." The AI sprint has been propelled by recent growth in computing power, increasing availability and openness of large data sets, and "deep learning" algorithms that mimic neural networks.

In recent years, there has been growing interest in the study of automated playlist generation — music recommender systems that focus on modeling preferences over song sequences rather than on individual songs in isolation. This paper addresses this problem by learning personalized models on the fly of both song and transition preferences, uniquely tailored to each user’s musical tastes. Playlist recommender systems typically include two main components: i) a preference-learning component, and ii) a planning component for selecting the next song in the playlist sequence. While there has been much work on the former, very little work has been devoted to the latter. This paper bridges this gap by focusing on the planning aspect of playlist generation within the context of DJ-MC, our playlist recommendation application. This paper also introduces a new variant of playlist recommendation, which incorporates the notion of diversity and novelty directly into the reward model. We empirically demonstrate that the proposed planning approach significantly improves performance compared to the DJ-MC baseline in two playlist recommendation settings, increasing the usability of the framework in real world settings.