Windows may dominate the worldwide desktop market, but Microsoft is working to adapt the operating system for all kinds of devices, from giant displays like the Surface Studio to mixed reality headsets like the HoloLens. The event comes after Microsoft recently debuted new products including Windows 10 S and the Surface Laptop . Harman Kardon also just revealed its new Invoke smart speaker, which is powered by Microsoft's Cortana virtual assistant. Terry Myerson, Microsoft's executive vice president of the Windows and devices group, sat down with TIME to discuss the future of Windows, Microsoft's hardware efforts, virtual reality, and more. Below is a transcript of our conversation edited for length and clarity.

In our recent post, we described our encounter with the Google Cloud Natural Language API. Let's see where we can find the desired information: With this analysis at our disposal, we make a few experiments to qualitatively compare the Google Natural Language API and the Stanford engine. Stanford CoreNLP also provides similar feature, allowing to perform entity linking of detected entities to their Wikipedia page. The Natural Language API returned "negative", "positive" and "positive" for these inputs.

The Microsoft Build 2017 conference starts tomorrow in Seattle! You can watch the conference live starting at 8:00AM Pacific Time and get the scoop. Only a few days to go before we reach zero bugs. Great progress has been made, but we are still 163 bugs away from zero. In February we took a camera crew to the Microsoft Alumni Network's big .NET 15th birthday bash and caught up with team members past and present.

How does one become a hacker, neuroscientist, pilot, radio host and storyteller? "A random sequence of events with no planning, that you try to weave into a story in hindsight." Thus does neuroscientist and Kellogg School of Management Marketing professor Moran Cerf describe his life's path. It's an observation that many successful people will appreciate. Rather than strategy driving implementation, strategy often emerges from actions, experiments and unexpected events -- and if we're smart, a lot of awareness and learning along the way.

The girls were dancing on a neon tank, wearing sequined bikinis lit up by red and green laser light. A strobing fixed-wing aircraft passed overhead like the acid-trip kissing cousin of a Mitsubishi A6M Zero, with more sequined women dangling from it, trapeze-style. Flashing robots had preceded them -- wheeling through the room, pumping their fists at the crowd -- while the audience, seated on tiers of glittery red plastic swivel chairs, waved glow sticks. As the music throbbed, twin walls of video screens threw up bizarre images. The Technicolor dream machine the women were using as a stage displayed, at the end of its barrel, a rainbow-colored star -- just where, on an ordinary tank, the death comes out. But this was no ordinary tank. It was a fixture of the one-hour show that takes place three times a night at Robot Restaurant, a kind of eye-melting Japanese dinner theater, a cabaret show of such migraine-inducing decadence that Las Vegas falls silent before it. On this hot Tokyo night in July 2013, two Americans, Roger Ver and Nicolas Cary, sat in the crowd. As far as Cary could tell, they were the only gaijin in the place. He was drinking a beer, while Ver, as usual, was abstaining. Their unappetizing bento boxes sat untouched: you don't go to Robot Restaurant for the food. In the midst of the cartoonish spectacle -- earlier, a woman wielding an oversized mace had ridden in on a stegosaurus to battle two heavily armored robots -- they had business to discuss.

I spoke with Michael Johnston, Lead Inventive Scientist at Interactions, about frequently asked questions about AI and Machine Learning as they apply to customer care. How do you define Artificial Intelligence and Machine Learning? Artificial Intelligence refers to the capability of a machine to imitate intelligent human behavior. Put another way, AI technologies are algorithms that attempt to mimic things that humans do. Machine Learning, on the other hand, is the science and engineering of giving computers the ability to learn without being explicitly programmed -- algorithms that learn from data.

It may share the same name, but the video game Prey has little in common with its 2006 predecessor. Publisher Bethesda Softworks has just launched Prey, a science-fiction epic carrying the brand the video game publisher's parent company, ZeniMax Media, acquired nearly eight years ago. The original Prey, which publisher 2K Games launched in 2006, starred Native American protagonist Tommy, who embarks on a quest to stop aliens from destroying Earth after he's abducted along with his girlfriend and his grandfather. Players explored a spaceship with living flesh-like interiors and warp holes used to navigate. The 2017 Prey for PC, PlayStation 4 and Xbox One features Morgan Yu, a participant in experiments done aboard the space station Talos I.

Even though Uber's self-driving efforts in the United States might have hit a massive snag, the ride-hailing giant is still planning to put a foot forward with its ongoing plans. It has now decided to set up another Advanced Technologies Group (ATG) office, but this one is being set up outside the country. As announced today, a new R&D center is coming up in Toronto and will be spearheaded by local AI researcher Raquel Urtasun. The said ATG office won't be focusing on the development of cameras, sensors or outfitting the vehicles themselves. Instead, the team led by Urtasun will be working on the software aspects of the system i.e artificial intelligence and machine learning. This means the said research won't exactly muddle with the existing hardware developed at the U.S ATG office.

One of the most difficult parts of limiting the spread of fake news is that humans have a hard time filtering what is legit from what is bogus. But if humans can't tell the difference between what's real and fake, could machines do any better? In an attempt to answer this question, UC Santa Barbara computer scientist William Wang created LIAR, the largest ever database of fake news in an effort to train machines to automatically detect deception. Comprised of 12,836 examples of statements culled from a decade's worth of short statements from the Pulitzer prize-winning politifact.com, LIAR is an order of magnitude larger than any other fake news database that has been created in response to the 2016 election. To help a machine learning algorithm understand the statements, each of the 12,836 quotes was tagged with information about the truthfulness, subject, context, speaker, state, party, and prior history of inaccurate statements, in addition to a "lengthy analysis report" for the statement.

Artificial intelligence (AI) systems can recognize your speech like Siri or identify images like Facebook, but these types of machine intelligences are built on statistical approximation, using loads of data to make educated guesses. Though statistical approximation was a significant technological advancement for devices, experts at Future Lab's AI Summit in New York City believe that it is time to expand the bounds of artificial intelligence--to democratize it--by "engineering knowledge." For Puri, that is the next level of AI--its ability to not only say what something is, but to reason and understand the intent of its being, to answer the'why' question. "Working with kids gives you grounding. They ask questions because they are not shy," says IBM Watson's Chief Architect, Dr. Ruchir Puri, in an interview with EdSurge.