Going to television once meant your film career was over. Now, it can mean you will be bestowed one of the highest honors in Hollywood: an invitation to join the Academy of Motion Picture Arts and Sciences. In a move to diversify the 90-year-old organization's mainly white, mainly male ranks, and perhaps render the #OscarsSoWhite hashtag obsolete, the academy invited an unprecedented 774 new members to join last Wednesday. And television, it appears, provided many of those names. Robot"), Debbie Allen ("Grey's Anatomy"), Priyanka Chopra ("Quantico"), Sharon Gless ("Cagney & Lacey") and Lou Ferrigno (yes, you read that right -- the TV "Hulk" of 1970s fame) and TV legend Betty White, are among this year's class of invitees. Who was invited to join the film academy's largest class of all? Sure, they've all done work in major motion pictures, but that's not where their success or notoriety lives. Just try to name an indelible Betty White film role without turning to Google.

In a task of an online recommender system we try to predict what user will buy next in a new order, based on the collective history from all the users. For over 12k products in 800k orders we have trained individual classifiers for each product (based on xgboost trees) that produce rank in range 0;1 (the higher the rank, the better). The data has obviously large class imbalance, top 500 products constitue 50% of all ordered products. The classifier ranks are concatenated together, and by thresholding over 12k outputs we get the products that should be recommended. The metric that we use is that we want to maximize recall for specified precision 0.5.

Artificial intelligence gets a lot of press (thanks, Elon), but the fact is, AI couldn't be the rockstar it is without the behind-the-scenes help of machine learning (ML). While the two are closely related, there's a critical difference between AI and ML: AI makes decisions, while ML makes predictions. Think of it this way: it's AI that steers the Mars rover around the rock in its path, but it's ML that recognizes the rock to begin with. In marketing and advertising, the best example of AI is the programmatic ecosystem. This includes the decisions made around whether or not to bid on a given impression, how much to bid, what creative to serve, and various campaign optimization techniques.

Announcing our new Foundation for Deep Learning acceleration MIOpen 1.0 which introduces support for Convolution Neural Network acceleration -- built to run on top of the ROCm software stack! Install the ROCm MIOpen implementation (assuming you already have the'rocm' and'rocm-opencl-dev" package installed): For just OpenCL development

A robot developed by researchers at Georgia Tech has a knack for music that would have made Beethoven jealous. Shimon is robot that composes and plays his own beats. He uses a process called deep neural learning along with artificial intelligence to decode different genres of music eventually creating his own chimes on the marimba. Dr. Gil Weinberg, the director of the Georgia Tech Center for Music Technology, created Shimon nearly 10 years ago, but now the robot musician has learned how to do things on his own. Weinberg's goal is to use the technology to collaborate with humans rather than replace them.

It may only be one metre tall, but a R2-D2 droid has just become one of the most valuable pieces of Hollywood memorabilia ever sold. The robot, which was used in several Star Wars films, sold at auction this week for a staggering £2.13 million ($2.76 million). While those who haven't seen the Star Wars films might see this as a big investment, experts claim that the droid is the'creme de la creme of movie props' and something that you could'put next to a Picasso.' The robot, which was used in several Star Wars films, sold at auction this week for a staggering £2.13 million ($2.76 million) The R2-D2 droid was sold by Profiles in History, an auction house based in Calabasas, California, as part of its Hollywood Auction. The one metre (43 inch) tall unit was compiled from parts used throughout filming of the original Star Wars trilogy, from 1977-1983.

Global professional services firm focused on delivering digital transformation Genpact has unveiled Genpact Cora - an artificial intelligence (AI)-based platform that accelerates digital transformation for enterprises. Genpact Cora is a modular, interconnected mesh of flexible digital technologies that hones in on specific operational business challenges and tackles them from beginning to end, helping large global companies reframe and solve their most pressing real world business issues. "In an environment being disrupted by new technologies and increasing competition, clients want to buy business outcomes, not just tools and products," said founder and chief executive officer, Everest Group, a leading analyst firm, Peter Bendor-Samuel. "Genpact Cora is timely for an industry seeking digital transformation," added Peter Bendor-Samuel. As part of its ongoing strategy to drive digital-led innovation and digitally-enabled intelligent operations for clients around the world, Genpact has created Genpact Cora to provide the fastest path to driving meaningful transformation at scale.

Just one minute of video typically takes several hours of editing -- but Stanford and Adobe researchers have developed an artificial intelligence (AI) program that partially automates the editing process, while still giving the user creative control over the final result. The program starts by organizing all of the footage, which is often from multiple takes and camera angles. Those clips are matched to the script, so it's easy to find several video options for each line of dialogue. The program then works to recognize exactly what is inside those clips. Using facial recognition alongside emotion recognition and other computational imaging effects, the program determines what is in each frame.

Machine learning is definitely VERY cool, much like virtual reality or a touch bar on your keyboard. But there is a big difference between cool and useful. For me, something is useful if it solves a problem, saves me time, or saves me money. Usually, those three things are connected, and relate to a grander idea; Return on Investment. There has been some astonishing leaps forward in artificial intelligence and machine learning, but none of it is going to matter if it doesn't offer a return on your investment.

Facebook is due to start hiding posts from people who spam users' news feed with clickbait, sensationalised and misinformative articles. In a statement, the social media giant said it was making the update "to reduce low quality links" in users' news feed. Facebook said it carried out research which showed that a small group of users were "routinely sharing vast amounts of public posts per day", which was effectively spamming people's feeds. The study showed that the same people, who were sharing vast amounts of public posts, were also sharing low quality content. As a result of the research, Facebook said it would "deprioritise" posts being shared from those accounts.