Poker aficionados have been pondering the greatest approaches ever considering that the card game was invented. Now along comes the great exponent, one particular who knows all the optimal plays and so generally wins in the long run – or so its makers claim.

The unbeatable player is a piece of software program designed by laptop or computer scientists at the University of Alberta in Edmonton, Canada. They say they have worked out the excellent technique for a particular form of the game. The operate could have applications to real­planet conditions in which persons try to...

Practice makes perfect, even if you  happen to be a piece of artificial intelligence.

That was the premise of an experiment led by Michael Bowling of the University of Alberta, which set up a program called Cepheus to play a billion billion (yes, a billion billion) hands of a poker variant called heads-up limit Texas Hold’Em against itself. Cepheus ran on 4,600 CPUs, considering 6 billion hands per second, learning from each victory, split pot, and defeat. After the equivalent of 1,000 years of CPU time during 70 actual days, Cepheus had played more poker than that played...

Poker aficionados have been pondering the best strategies ever since the card game was invented. Now along comes the perfect exponent, one who knows all the optimal plays and so always wins in the long run – or so its makers claim.

The unbeatable player is a piece of software created by computer scientists at the University of Alberta in Edmonton, Canada. They say they have worked out the ideal strategy for a particular form of the game. The work could have applications to real­ world situations in which people try to achieve preferred outcomes – including auctions and...

USC researchers have teamed up with Los Angeles social workers to address a public-health problem using a mathematical solution.

Social workers at My Friend’s Place – a non-profit agency that helps Los Angeles’s homeless youth become more self-sufficient – have been working to prevent the spread of HIV among homeless teens and young adults.

USC researchers have teamed up with Los Angeles social workers to address a public- health problem — the spread of HIV — using an unlikely method: mathematics.

Social workers at My Friend’s Place [http://myfriendsplace.org] , a nonprofit agency that helps Los Angeles’ homeless youth become more self-sufficient, have been working to prevent the spread of HIV among homeless teens and young adults.

They’ve relied in part on word-of-mouth, but have had limited success. Transient young adults often have fluid friendships; if two friends stop hanging out, a social worker’...

​Thousands of teenagers sleep on the streets every night in Canada, and spreading awareness about how they can avoid contracting viruses like HIV is no easy task. Artificial intelligence could help by singling out teens most likely to influence their peers.

PSINET, the algorithm in question, uses information about the friend networks of homeless youth, collected by staff at shelters, to map their social connections and predict which kids are the most likely to influence their friends.

"Algorithm" has become a dirty word. While many websites and social networks set up algorithms to anticipate and meet their users' needs, they also use them to manipulate our data for advertising, making money off every digital step we take.

But we can use algorithms for social good, too. Social workers and computer scientists at the University of Southern California (USC) are doing just that, using math and data to help prevent the spread of HIV among homeless teens.

Among homeless young people, across country, HIV rates are 10 times that of the general population. Keeping alive can mean sex work, drug use and other risky behavior. One of the more effective ways of combating the spread of HIV is peer-led education programs. But, says Eric Rice, a professor at University of Southern California’s School of Social Work, choosing the right peer to lead can be tricky.

“Preventing crime is like a game of chess, and we use big data and game theory analytics to help our clients outsmart the bad guys”“an innovative approach to optimize patrol schedules and actions for the Coast Guard Ports, Waterways and Coast Security missions”

Despite the widespread impact of software today on our lives,

there are a number of areas of computer science research which have had a difficult time in being translated into practical, every day usage. One of those

areas is game theory--the use of computer simulations to predict the behavior of multiple people or entities, and how they will behave together, most famously depicted in that 1980's movie, War Games. Los Angeles startup--ArmorWay (www.armorwaycom)--is trying to take what has mostly been an esoteric computer science research area, and is now looking to...

Southern California Go Open, held on the 28th in the World Journal, attracting all age, ethnic size contestants, Irvine professor of economics increase Mike Mcbride, The Graduate Garret Ridinger, Department of Computer Science and USC graduate Leandro Marcolino special to the scene to "match", hoping to gather more information through the game, players learn how to solve problems when they play chess.

With so many people living in a social media bubble, it’s easy to forget that in all of our communities, most information still spreads without the help of Facebook.

A Santa Monica tech company focused on security and birthed at USC has now locked up the school as a customer.

Armorway Inc., a security analytics firm co-founded by Zaré Baghdasarian, Manish Jain and James Pita in 2013, has developed a software program that uses game theory to analyze real-time data in an effort to enhance security efforts.

“When you play any game, each of you wants to win,” said Jain, Armorway’s chief technology officer. “But the outcome depends on what both of you do. We model security on these games.”

In the early 2000s, USC Viterbi Computer Science Professor Milind Tambe and a graduate student began working on a game-theory algorithm to optimize interac- tions among robots. They found that randomized interactions resulted in the most effective coordination.

Artificial intelligence can significantly boost conventional security systems. This is what Prof Milind Tambe from University of Southern California (USC) told his audience while speaking on the 4th lecture of 'The Roddam Narasimha Lecture Series' at Indian Institute of Technology Gandhinagar (IIT-Gn) on Monday.