In 2015, Google revealed its'god-like' AlphaGo artificial intelligence system - the first computer program to defeat a world champion at the ancient Chinese game of Go. And while it may sound implausible, the incredible system has just got even better. Scientists have unveiled the latest version of the system, called AlphaGo Zero, which learns to play simply by playing games against itself. The researchers hope their creation can help to solve some of the'most important challenges humanity is facing.' The system starts off with a neural network that knows nothing about the game of Go.
It was only a matter of time: Samsung's Bixby assistant isn't confined to just phones anymore. The company will soon bring its digital assistant to appliances, starting with its own refrigerators and smart TVs. Samsung is also working with third-party developers to open up Bixby to non-Samsung products "in the near future." The news is part of Samsung's "Bixby 2.0" update, announced today at the company's developer conference in San Francisco. The revamped Bixby is smarter, has better voice recognition capabilities, and has improved personalization features.
Apple's secretive automotive project has flown under the radar over the past several months after news leaked that the company was granted permission to test a self-driving car platform and entered the race to develop autonomous cars -- but that doesn't mean that the cars stopped roving the roads to gather data. SEE ALSO: The'Google of China' is working on a driverless bus for next year and fully self-driving cars by 2021 A keen-eyed observer, MacAllister Higgins, spotted what he believes to be the latest version of Apple's self-driving rig out in the wild and posted a video to Twitter, first reported by The Verge. He said the car, which you can't quite make out in the video, was a Lexus SUV -- the same type of vehicle Apple is approved to use for tests on public roads, one of which was thought to have been spotted back in April. Higgins is more than just a casual Apple fan, however -- he's a robotics engineer and happens to be a co-founder of Voyage, a self-driving startup that recently launched its own pilot program in San Jose. Higgins referred to Apple's rumored internal codename for its long gestating auto program, Project Titan, and called the bulky, plastic-encased setup "The Thing."
When men and women collaborate to solve a problem--say, in a meeting--women speak at least 25 percent less than men do. That's why a team at BBC's 100 Women Challenge developed an app called All.ai to help women boost themselves at work--and to help everyone else quiet down and listen. The iOS and Android app isn't available to download quite yet, but should be coming to the App Store soon. "Meetings are an important place to have your ideas be heard," said Rumman Chowdhury, an artificial intelligence specialist at Accenture who helped develop the app. "Women in meetings are often overlooked or ignored or interrupted.
Though it probably doesn't feel this way to those who spend their lives running between meetings, dealing with customers, or negotiating with suppliers, the UK isn't working hard enough. Or at least it isn't working smart enough. UK productivity--how much all of us produce over a year divided by how many hours we spend doing it--lags France, Germany, and the U.S. by up to 30%, according to the Office of National Statistics. And it's not just the G7's most productive three countries that outperform the UK. Irish, Spanish, Belgian, and Dutch workers all significantly outperform their UK counterparts.
Fresh off last week's acquisition of Rocana's technology and IP assets, Splunk revealed on Tuesday the purchase of data collection and breach detection specialist SignalSense in a push to enhance its machine learning capabilities. "The SignalSense team consists of industry-leading experts in building modern cloud applications and applying machine learning to data at scale," said Richard Campione, chief product officer at Splunk, in a statement. Splunk said it would leverage Seattle-based SingnalSense's expertise and technology to advance its machine learning capabilities and its "market-leading" machine data platform. Terms of the deal were not disclosed. This is the second machine learning acquisition San Francisco-based Splunk has made this month.
We read a lot of news about chatbots reshaping entire industry sectors by utilizing artificial intelligence (AI), machine learning and natural language processing. Some chatbots are good in assisting consumers in buying tickets or finding good food nearby. Others can keep a simple conversation alive or replace traditional FAQ pages. What most media pundits miss, however, is that such a capability is nowhere near general AI potential, which casts doubts over the very future of chatbots. For start, chatbots are of two basic types: conversational and goal-oriented.
Apple's machine learning team published an all-new research paper today that dives deep into how Apple uses AI to power one of the most basic Siri commands. In order to keep the'Hey Siri' command from running on the main processor all day, Apple's new publication reveals that the company uses a tiny, low-power auxiliary processor that's embedded in the Motion Coprocessor just to listen to the phrase. In the paper published on its blog today, Apple also discusses how it found unique ways to use machine learning to prevent false triggers of the'Hey Siri' command. To detect when someone actually wants to trigger Siri, Apple converts your voice using a Deep Neural Network into a probability distribution over speech sounds. A confidence score is then created and if it's high enough, Siri wakes up.
Google introduces seven new products for home and personal use at the Google pop-up shop in Manhattan Oct. 17, 2017. Ivy Ross, left, and Lily Lin of Google introduce the seven new products for home and personal use at the Google pop-up shop in New York City on Tuesday, Oct. 17, 2017. The shop with be open to the public from Thursday, Oct. 19, 2017, until Dec. 31, 2017. The tech giant rolled out new products ranging from home to personal use at the exclusive Made by Google pop-up store in Manhattan's Flatiron district Tuesday. "Technology is here to stay; it has to fit in our environment," said Ivy Ross, vice president of design and use experience for Google.
Our program, AlphaGo Zero, differs from AlphaGo Fan and AlphaGo Lee 12 in several important aspects. First and foremost, it is trained solely by self-play reinforcement learning, starting from random play, without any supervision or use of human data. Second, it only uses the black and white stones from the board as input features. Third, it uses a single neural network, rather than separate policy and value networks. Finally, it uses a simpler tree search that relies upon this single neural network to evaluate positions and sample moves, without performing any MonteCarlo rollouts.