In Go, no successful evaluation function for non-terminal positions has ever been found. Therefore, it is not a problem that will be solved with faster search. It pushes the boundaries of what is possible with new algorithms such as Monte Carlo methods. Work on computer Go started in the 1960's, but it was not until 2016 that the AlphaGo program was able to best the second-highest ranking professional Go player.
Fox News Flash top headlines for June 7 are here. Check out what's clicking on Foxnews.com Videos of Boston Dynamics' robots have been the stuff of both awe and inspiration, as well as nightmares. Now, it appears the robots will be doing more than just performing parkour or dancing around on YouTube. According to The Verge, who interviewed Boston Dynamics' CEO Marc Raibert at Amazon's Re:MARS conference in Las Vegas, Spot, the company's dog-like robot and arguably its cutest machine, will be available for purchase "within months" and certainly before the end of 2019.
Automation is increasingly a reality in the workforce, and that means robots working alongside humans. But there's a problem: robots are often lousy at predicting where humans are going, leading them to either freeze up or risk collisions with their fleshy counterparts. Thankfully, MIT researchers have developed an algorithm that better predicts the paths of nearby humans. Rather than simply rely on the distance of points on a person's body, like common systems, the new approach aligns segments of a person's trajectory with a collection of reference movements. Moreover, it considers timing as well -- it knows you're not about to change course if you've just started moving.
YouTube is littered with extreme and misleading videos, and the company has been criticised for not doing enough to limit the dreck. But one place the Google unit has managed to clean up is YouTube's homepage. Behind the scenes, Google has deployed artificial intelligence software that analyses reams of video footage without human help, deciphers troubling clips and blocks them from the homepage and home screen of the app. Its internal name is the "trashy video classifier," according to three people familiar with the project. The system, which has not been reported before, plays a key role in attracting and keeping viewers on YouTube's homepage, building a foundation for a flurry of new advertising coming to the video service.
On March 10, 2016, one of the strongest Go players in the world, Lee Sedol, stared at one of the oddest moves in the history of professional Go. His opponent -- the computer program AlphaGo, from Google-owned DeepMind -- had, in the 37th move of the game, placed its stone in what the Go community calls a "shoulder hit"; a move professional Go players seldom use. Stunned, Lee just walked out of the room. AlphaGo appeared to demonstrate creative initiative exceeding the best human players. Lee returned a few moments later and played a brilliant game, though he still conceded defeat after 211 moves.
The game of Go played between a DeepMind computer program and a human champion created an existential crisis of sorts for Marcus du Sautoy, a mathematician and professor at Oxford University. "I've always compared doing mathematics to playing the game of Go," he says, and Go is not supposed to be a game that a computer can easily play because it requires intuition and creativity. So when du Sautoy saw DeepMind's AlphaGo beat Lee Sedol, he thought that there had been a sea change in artificial intelligence that would impact other creative realms. He set out to investigate the role that AI can play in helping us understand creativity, and ended up writing The Creativity Code: Art and Innovation in the Age of AI (Harvard University Press). The Verge spoke to du Sautoy about different types of creativity, AI helping humans become more creative (instead of replacing them), and the creative fields where artificial intelligence struggles most.
Scientists and researchers have long extolled the extraordinary potential capabilities of universal quantum computers, like simulating physical and natural processes or breaking cryptographic codes in practical time frames. Yet important developments in the technology--the ability to fabricate the necessary number of high-quality qubits (the basic units of quantum information) and gates (elementary operations between qubits)--is most likely still decades away. However, there is a class of quantum devices--ones that currently exist--that could address otherwise intractable problems much sooner than that. These near-term quantum devices, coined Noisy Intermediate-Scale Quantum (NISQ) by Caltech professor John Preskill, are single-purpose, highly imperfect, and modestly sized. Dr. Anton Toutov is the cofounder and chief science officer of Fuzionaire and holds a PhD in organic chemistry from Caltech.
Academic publisher Springer Nature has unveiled what it claims is the first research book generated using machine learning. The book, titled Lithium-Ion Batteries: A Machine-Generated Summary of Current Research, isn't exactly a snappy read. Instead, as the name suggests, it's a summary of peer-reviewed papers published on the topic in question. It includes quotations, hyperlinks to the work cited, and automatically generated references contents. It's also available to download and read for free if you have any trouble getting to sleep at night.
Stacks of vertical shelves weave around each other in what looks like an intricately choreographed – if admittedly inelegant – ballet that has been performed since 2014 in Amazon's cavernous warehouses. The shelves, each weighing more than 1,000 kg, are carried on the backs of robots that resemble giant versions of robotic vacuum cleaners. The robots cut down on time and human error, but they still have things to learn. Once an order is received, a robot goes to the shelf where the ordered item is stored. It picks up the shelf and takes it to an area where the item is removed and placed in a plastic bin, ready for packing and sending to the customer.
In the food industry, it seems, the robot revolution is well underway, with machines mastering skilled tasks that have always been performed by people. In Boston, robots have replaced chefs and are creating complex bowls of food for customers. In Prague, machines are displacing bartenders and servers using an app. Robots are even making the perfect loaf of bread these days, taking charge of an art that has remained in human hands for thousands of years. Now comes Briggo, a company that has created a fully automated, robotic brewing machine that can push out 100 cups of coffee in a single hour -- equaling the output of three to four baristas, according to the company.
A startup called CogitAI has developed a platform that lets companies use reinforcement learning, the technique that gave AlphaGo mastery of the board game Go. Gaining experience: AlphaGo, an AI program developed by DeepMind, taught itself to play Go by practicing. It's practically impossible for a programmer to manually code in the best strategies for winning. Instead, reinforcement learning let the program figure out how to defeat the world's best human players on its own. Drug delivery: Reinforcement learning is still an experimental technology, but it is gaining a foothold in industry.