Recently Google DeepMind program AlphaGo Zero achieved superhuman level without any help - entirely by self-play! Here is the Nature paper explaining technical details (also PDF version: Mastering the Game of Go without Human Knowledge) One of the main reasons for success was the use of a novel form of Reinforcement learning in which AlphaGo learned by playing itself. The system starts with a neural net that does not know anything about Go. It plays millions of games against itself and tuned the neural network to predict next move and the eventual winner of the games. The updated neural network was merged with the Monte Carlo Tree Search algorithm to create a new and stronger version of AlphaGo Zero, and the process resumed.
Nintendo has sold a lot of Switches in the last year thanks to the console's unique ability to play games on a TV and on the go, but also thanks to The Legend of Zelda: Breath of the Wild and Super Mario Odyssey. Though they came from 30 year-old franchises, both games helped millions fall in love with them all over again. In 2018, Nintendo is setting its sights in a direction it hasn't aimed at before: the do-it yourself crowd. Nintendo Labo are a series of experiences for Switch that let you (or your kids) build cardboard objects and play games with them. Robots, fishing poles, pianos... there's a lot to build and try here.
The Imagination, Computation, and Expression Laboratory at MIT's Computer Science and Artificial Intelligence Laboratory has released a new video game called Grayscale, which is designed to sensitize players to problems of sexism, sexual harassment, and sexual assault in the workplace. D. Fox Harrell, the lab's director, and students in his course CMS.628 (Advanced Identity Representation) completed the initial version of the game more than a year ago, and the ICE Lab has been working on it consistently since. But it addresses many of the themes brought to the fore by the recent #MeToo movement. The game is built atop the ICE Lab's Chimeria computational platform, which was designed to give computer systems a more subtle, flexible, and dynamic model of how humans categorize members of various groups. MIT News spoke to Harrell, a professor of digital media and artificial intelligence, about Grayscale (or to give it its more formal name, Chimeria:Grayscale). Q: How does the game work?
PROVIDENCE, R.I. [Brown University] -- The past few years have witnessed a revolution in artificial intelligence. AI systems are beating humans on reading comprehension tests, clobbering board game champions and enabling cars to drive themselves. Even more mundane AI systems, like smartphone apps that recognize faces and personal assistants that understand verbal commands, were seemingly insurmountable challenges just a decades or so ago. These recent breakthroughs have been made possible in large part by a technology known as deep learning or deep neural networks -- algorithms that have become the unseen force behind modern AI. Every time a phone responds to "Hey Siri," or Google translates a sentence from Swedish to Swahili, deep neural networks are at play.
Publications like The Wall Street Journal, Forbes and Fortune have all called 2017 "The Year of AI." AI outperformed professional gamers and poker players in new realms. Access to deep learning education expanded through various online programs. The speech recognition accuracy record was broken multiple times, most recently by Microsoft. And research universities and organizations like Oxford, Massachusetts General Hospital and GE's Avitas Systems invested in deep learning supercomputers. These are a few of many milestones in 2017.
The purpose of this project is to design and implement a game playing agent to play a game using adversarial search methods. The goal is to create a game playing agent that defeats our opponent at a game of isolation consistently. For this project I've designed three heuristics to create an effective edge for the game playing agent. Don't know what Isolation is? Check out out this page: isolation.secdevops.ai and compete against my agent. In the case of the game isolation, there are two players competing against each other.
In October 2017, researchers at Google DeepMind published a paper on an artificial intelligence (AI) program called AlphaGo Zero. Unlike previous incarnations of AlphaGo, this updated version mastered the game of Go through self-play alone. Talking about the achievement, lead researcher David Silver explained that AlphaGo Zero had invented "its own variants which humans don't even know about or play at the moment." And it's here that a new and exciting use for AI comes to light. Could it be that AI might teach humans about the world around us?
I believe artificial intelligence (AI) will be a key driver of change in PPC in 2018 as it leads to more and better PPC intelligence. So far, I've discussed the roles humans will play when PPC management becomes nearly fully automated and six strategies agencies can take to future-proof their business. In this final post on the state of AI in PPC, I'll cover the technology of AI. AI has been around since 1956, and PPC has existed since the late 1990s. So why did it take until now for AI's role in paid search to become such a hot topic in our industry?
Artificial intelligence can beat humans at games such as Jeopardy, chess and Go, but these much-celebrated achievements aren't actually what we need. We want AI to work with us not against us – and the key may be a little banter. Jacob Crandall at Brigham Young University in Utah and his colleagues created an algorithm capable of learning to cooperate with people that uses short snippets of conversation known as "cheap talk". By including chit-chat, the team doubled the rate of cooperation between humans and AI across 472 games. These games were two-player interactions such as the prisoner's dilemma, where participants repeatedly choose from two options with the outcome dependent on the other player.
Whether you asked for it or not, music made with nonmusical things has become a revolution. YouTuber The Cubican is the latest to join, also recreating the "Cantina Theme" from Star Wars but this time with the solving of a Rubik's cube. The only way I solve a Rubik's cube is by peeling off the stickers and putting them back so the Rubik's cube looks done, so it's safe to say I'm amazed. I hope your Rubik's cube abilities take you far in life, Sir Cubican. Things get'romantic as F' in the new'Love, Simon' trailer'Super Mario 64' meets'Banjo-Kazooie' in the mash-up of your '90s dreams