On Wednesday night, Tesla sued four former employees and the self-driving startup Zoox for misappropriation of trade secrets. No, you're not having driverless-car lawsuit déjà vu--you're just remembering the time last year when Waymo and Uber settled their own trade secrets case after four days of trial. Tesla's suit, filed in the Northern California federal district court, alleges that four of its former employees took proprietary information related to "warehousing, logistics, and inventory control operations" when they left the electric automaker, and later, while working for Zoox, used that proprietary information to improve its technology and operations. Tesla says the former employees--Scott Turner, Sydney Cooper, Chrisian Dement, and Craig Emigh--worked in product distribution and warehouse supervising. It alleges they forwarded the trade secrets to their own personal email accounts, or the accounts of other former Tesla employees.

It's Friday, which means it's once again time for Replay, WIRED's look at the world of gaming. Since nearly everyone involved in the videogame industry spent the week at the Game Developers Conference discussing the future and reflecting on the past, a lot of news came out of that annual gathering. But a lot of news came from elsewhere too. Well, there are awards, a new title to look forward to, and an old conflict finally (almost) coming to an end. Earlier this week at the Game Developers Conference, the Independent Gaming Festival held its yearly awards ceremony, honoring the best and most exciting works in the indie gaming sphere.

LIKU baby humanoid robots are demonstrated on the Torooc Inc. stand on the opening day of the MWC Barcelona in Barcelona, Spain, on Monday, Feb. 25, 2019. At the wireless industry's biggest conference, over 100,000 people are set to see the latest innovations in smartphones, artificial intelligence devices and autonomous drones exhibited by more than 2,400 companies. On February 11, 2019, President Trump signed an executive order on Maintaining American Leadership in Artificial Intelligence and in February 2019, a survey by Protiviti called Artificial Intelligence and Machine Learning indicated that only 16% of business leaders surveyed are getting significant value from advanced artificial intelligence (AI) in their companies. The report also found that companies of all sizes and across industries are investing heavily in advanced AI with an average of $36M spent in the fiscal year 2018. Of those same companies surveyed, 10% plan to increase their budgets over the next two years.

Apple is planning a "special event" on 25 March, where the tech giant is widely expected to unveil a new video streaming service to potentially rival Netflix. Taking place at the Steve Jobs Theatre at the company's headquarters in Cupertino, California, an invitation for the event included the phrase "it's showtime" in an apparent reference to a new film and video platform, though no official details have yet been revealed. There have nonetheless been a slew of leaks and rumours that usually come with major Apple events. Other potential announcements are thought to include a paid-for news subscription service. We'll tell you what's true.

Facebook said on Wednesday night that its artificial intelligence systems failed to automatically detect the New Zealand mosque shooting video. A senior executive at the social media giant responded in a blog post to criticism that it didn't act quickly enough to take down the gunman's livestream video of his attack in Christchurch that left 50 people dead, allowing it to spread rapidly online. Facebook's vice president of integrity, Guy Rosen, said "this particular video did not trigger our automatic detection systems." "AI has made massive progress over the years and in many areas, which has enabled us to proactively detect the vast majority of the content we remove," Rosen said. One reason is because artificial intelligence systems are trained with large volumes of similar content, but in this case there was not enough because such attacks are rare.

I saw "Apollo 11" in the Los Angeles suburb of Alhambra, sitting in an IMAX theatre with ten or so other freelancers and retirees who could see a documentary about NASA in the middle of a Thursday. The director and editor, Todd Douglas Miller, tells the story of the moon launch using archival footage, including a trove of 70-mm. The film has no voice-over narration. Instead its story is relayed by the newscasts of Walter Cronkite and the radio transmissions of Edwin (Buzz) Aldrin, Neil Armstrong, Michael Collins, and their interlocutors on Earth. The result is a visual museum about America in July, 1969, in which Aldrin's famous 16-mm.

Artificial intelligence raises exciting possibilities for healthcare, but are companies promising more than they can deliver? But artificial intelligence's potential also comes with an incredible level of hype. "AI has the most transformative potential of anything I've seen in my life, and I graduated medical school 40 years ago. It's the biggest thing I've ever seen by far," prominent cardiologist and author Dr. Eric Topol told Medical Design & Outsourcing. "But it's more in promise than it is in reality."

CS 229 ― Machine Learning My twin brother Afshine and I created this set of illustrated Machine Learning cheatsheets covering the content of the CS 229 class, which I TA-ed in Fall 2018 at Stanford. They can (hopefully!) be useful to all future students of this course as well as to anyone else interested in Machine Learning.

To my readers it will appear as though I am writing some article on old Greek mythology, but you will soon realize that the world remains the same the more it changes. Recently Ali Rahimi, a researcher in artificial intelligence at Google, compared machine learning with alchemy. Later a few technology journalists, more than ever before, started writing about the relationship between technology and alchemy. Alchemy is about using the "trial and error" method and coming out with a formula (mostly secret or something that cannot be deconstructed). Similarly, in machine learning a model is designed out of data, this model constantly learns and produces an output but nobody know how decisions are made.

Every new technology that comes to prominence has always made the life of humans better. Remember, the time fire was first discovered by your ancestors to cook food. And then came the wheel. Now, it is digital payments and internet of things. Are you a person who keeps a keen eye on the scientific developments happening in the world?