A threshold was quietly crossed in the first quarter of 2016. For the first time, mobile carriers reported activating more connected cars than phones. At a vehicle tech demonstration in Manhattan this month, a group of reporters stood around a custom-made, tablet-screened display console as Darrin Shewchuk, a spokesman for Harman International, explained the impending technological revolution. "There will be more than 200m connected vehicles on the road around the world by 2020," Shewchuk said, outlining Harman's partnership with Samsung to create a new generation of in-vehicle technology. A blue-tinted graphic appeared on the console's screen depicting the vague outline of a human form floating in the midst of a number of devices – phone, car, "smart" house.

They say their decoder significantly outperforms existing approaches. These included a Long Short Term Memory Network, a recurrent neural network, and a feedforward neural network. "For instance, for all of the three brain areas, a Long Short Term Memory Network decoder explained over 40% of the unexplained variance from a Wiener filter," they say. But Glaser and co deliberately reduced the amount of training data they fed to the algorithms and found the neural nets still outperformed the conventional techniques.

Tic-tac-toe, checkers, chess, Go, poker. Artificial intelligence rolled over each of these games like a relentless tide. No one expects the robot to win anytime soon. But when it does, it will be a far greater achievement than DeepMind's conquest of Go--and not just because StarCraft is a professional e-sport watched by fans for millions of hours each month. DeepMind and Blizzard Entertainment, the company behind StarCraft, just released the tools to let AI researchers create bots capable of competing in a galactic war against humans.

If there's anything to be said for working at a Silicon Valley tech company, it's the perks. Fridges stuffed with Red Bull. And for select employees at Cruise, General Motors' autonomous driving outfit in San Francisco, rides anywhere in the city, for free, in a self-driving car. Cruise Anywhere, which launched Tuesday, works just like Uber or Lyft: Open the app, type in your location and destination, and wait for your car. It's available to 10 percent of Cruise's 250 employees, between 7 am and 11 pm, and uses the company's fleet of 63 Chevrolet Bolt EVs.

An array of ethnic filters on the photo-editing app, FaceApp, has stirred backlash as users decry the options for facial manipulation as racist. The selfie-editing app, FaceApp, was updated earlier this month with four new filters: Asian, Black, Caucasian and Indian. The filters immediately drew criticism on Twitter by users who made comparisons to blackface and yellowface racial stereotypes. In addition to these blatantly racial face filters – which change everything from hair color to skin tone to eye color – other FaceApp users noted earlier this year that the "hot" filter consistently lightens people's skin color. "#FaceApp has a new feature where you can see yourself #CaucasianLiving.

Like many of the other terms that crop up in conversations about artificial intelligence, neural network, which refers code designed to work like a brain, can be conceptually intimidating. Janelle Shane, however, makes the kind of neural networks that go viral. Her quirky creations autonomously stumble and grumble as they attempt to come up with names of Star Wars character, pick-up lines, and even recipes. Shane rightly warns that you should try the output of that last algorithm "at your own risk," though there's little danger that any human would attempt to: The network's recipe for Beothurtreed Tuna Pie, for example, includes such bafflingly unappetizing ingredients as "1 hard cooked apple mayonnaise" and "5 cup lumps; thinly sliced."

The advent of social media presents a promising new opportunity for early detection and intervention in psychiatric disorders. Predictive screening methods have successfully analyzed online media to detect a number of harmful health conditions [1–11]. All of these studies relied on text analysis, however, and none have yet harnessed the wealth of psychological data encoded in visual social media, such as photographs posted to Instagram. In this report, we introduce a methodology for analyzing photographic data from Instagram to predictively screen for depression. There is good reason to prioritize research into Instagram analysis for health screening.

Andrew Ng is a soft-spoken AI researcher whose online postings talk loudly. A March blog post in which the Stanford professor announced he was leaving Chinese search engine Baidu temporarily wiped more than a billion dollars off the company's value. A June tweet about a new Ng website, Deeplearning.ai, Today that speculation is over. Deeplearning.ai is home to a series of online courses Ng says will help spread the benefits of recent advances in machine learning far beyond big tech companies such as Google and Baidu.

The airline industry could save an estimated $35 Billion with pilotless planes, but the public does not like the idea. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. The airline industry could save an estimated $35 Billion with pilotless planes, but the public does not like the idea.