If you're a fan of Ubisoft's popular Watch Dogs video game series – a 5-year-old action-adventure franchise played out in real-world cities like Chicago and San Francisco – you'll no doubt want to get your hands on the next installment, slated for March 5, 2020, for PC, Xbox One, PS4, and Google Stadia. "Watch Dogs: Legion," which earned several "Best of Show" awards at the recent Electronic Entertainment Expo, the video game confab known as E3, looks to be the most ambitious title in the series to date. Is Facebook listening to me?: Why those ads appear after you talk about things One of the most ambitious games of 2020, Ubisoft's'Watch Dogs: Legion' takes place in a post-Brexit London, which has become an all-seeing surveillance state. The following is what you need to know about the game – based on what I saw (and played) at E3, along with some details provided by Joel Burgess, world director at Ubisoft Toronto, which is taking the reins on this title with portions of the game being developed simultaneously at Ubisoft studios in Montreal, Paris, Newcastle, England; Bucharest, Romania; and Kiev, Ukraine. One of the most ambitious games of 2020, Ubisoft's'Watch Dogs: Legion' takes place in a post-Brexit London, which has become an all-seeing surveillance state.
It is no mystery why poker is such a popular pastime: the dynamic card game produces drama in spades as players are locked in a complicated tango of acting and reacting that becomes increasingly tense with each escalating bet. The same elements that make poker so entertaining have also created a complex problem for artificial intelligence (AI). A study published today in Science describes an AI system called DeepStack that recently defeated professional human players in heads-up, no-limit Texas hold'em poker, an achievement that represents a leap forward in the types of problems AI systems can solve. DeepStack, developed by researchers at the University of Alberta, relies on the use of artificial neural networks that researchers trained ahead of time to develop poker intuition. During play, DeepStack uses its poker smarts to break down a complicated game into smaller, more manageable pieces that it can then work through on the fly.
Machines are finally getting the best of humans at poker. Two artificial intelligence (AI) programs have finally proven they "know when to hold'em, and when to fold'em," recently beating human professional card players for the first time at the popular poker game of Texas Hold'em. And this week the team behind one of those AIs, known as DeepStack, has divulged some of the secrets to its success--a triumph that could one day lead to AIs that perform tasks ranging from from beefing up airline security to simplifying business negotiations. AIs have long dominated games such as chess, and last year one conquered Go, but they have made relatively lousy poker players. In DeepStack researchers have broken their poker losing streak by combining new algorithms and deep machine learning, a form of computer science that in some ways mimics the human brain, allowing machines to teach themselves.