As impressive as all these feats were, game-playing AI typically exploit the properties of a single game and often rely on hand-crafted knowledge coded into them by developers. But DeepMind’s latest creation, AlphaZero, detailed in a new paper in Science, was built from the bottom up to be game-agnostic.
All it was given was the rules of each game, and it then played itself thousands of times, effectively using trial and error to work out the best tactics for each game. It was then pitted against the most powerful specialized AI for each game, including its predecessor AlphaGo, beating them comprehensively.
“This work has, in effect, closed a multi-decade chapter in AI researchers need to look to a new generation of games to provide the next set of challenges, ”IBM computer scientist Murray Campbell, who has worked on chess-playing computers, wrote in an opinion for Science.
After watching Spike Jonze’s epic sci-fi film Her, I felt as if my mind was, metaphorically of course, absolutely blown away. The film far exceeded my expectations of how it would make me feel, let alone make me think! I found myself wanting to tell everyone I knew to stop what they were doing and take the time to really watch it, listen to it, and absorb it. I spoke of other great films that captured both my heart and mind, like Robot and Frank, but no film has ever really achieved what Spike Jonze’s Her achieves.
A review of Spike Jonze’s 2013 sci-fi film.
DeepMind’s artificial intelligence programme AlphaZero is now showing signs of human-like intuition and creativity, in what developers have hailed as ‘turning point’ in history.
The computer system amazed the world last year when it mastered the game of chess from scratch within just four hours, despite not being programmed how to win.
But now, after a year of testing and analysis by chess grandmasters, the machine has developed a new style of play unlike anything ever seen before, suggesting the programme is now improvising like a human.
Tencent Music Entertainment filed with the Securities and Exchange Commission on Monday to set the price for its US initial public offering — one day after President Donald Trump and Chinese President Xi Jinping announced a truce in the trade war between the US and China.
The China-based streaming-music service backed by tech giant Tencent said the offering price will be in the range of $13 and $15 per American Depository Receipt, helping it raise as much as $1.2 billion.
PlayStation users will now see an extra 9 percent tax applied to some purchases on the platform.
Sony has agreed to comply with Chicago’s amusement tax, leaving PlayStation users to face an extra 9 percent tax on streaming and rental services, effective Nov. 14. This latest expansion of the city’s amusement tax will apply to purchases such as rentals, but not full sales of games.
The city’s amusement tax used to mostly apply to purchases of concert and sporting event tickets. However, the Chicago Department of Finance ruled in 2015 that the tax covered streaming services such as Netflix, Hulu and Spotify. This expansion of the amusement tax is commonly dubbed the “Netflix tax” or the “cloud tax.” In addition to being regressive, it is also likely illegal.
A team of engineers at TRACLabs Inc. in the U.S. is making inroads toward the creation of a planetary base station monitoring system similar in some respects to Hal 9000—the infamous AI system in the movie 2001: A Space Odyssey. In this case, it is called cognitive architecture for space agents (CASE) and is outlined in a Focus piece by Pete Bonasso, the primary engineer working on the project, in the journal Science Robotics.
Bonasso explains that he has had an interest in creating a real Hal 9000 ever since watching the movie as a college student—minus the human killing, of course. His system is designed to run a base situated on another planet, such as Mars. It is meant to take care of the more mundane, but critical tasks involved with maintaining a habitable planetary base, such as maintaining oxygen levels and taking care of waste. He notes that such a system needs to know what to do and how to do it, carrying out activities using such hardware as robot arms. To that end, CASE has been designed as a three-layered system. The first is in charge of controlling hardware, such as power systems, life-support, etc.
The second layer is more brainy—it is in charge of running the software that controls the hardware. The third layer is even smarter, responsible for coming up with solutions to problems as they arise—if damage occurs to a module, for example, it must be sealed off from others modules as quickly as possible. The system also has what Bonasso describes as an ontological system—its job is to be self-aware so that the system can make judgment calls when comparing data from sensors with what it has learned in the past and with information received from human occupants. To that end, the system will be expected to interact with those humans in ways similar to those portrayed in the movie.
