Samsung envisions life transformed by artificial intelligence


Article by Sunggy Koo, Samsung Electronics vice president of smart appliance AI, where are we now and where are we going? Since it was first envisioned in the 1950s, AI has made a palpable impact on our lives, giving us practical speech recognition, more effective web search and self-driving cars, among other innovations. Earlier this month, Google's AlphaGo AI program made news by mastering the ancient Chinese board game Go in just three days without any human assistance. This major advance comes just two decades after Deep Blue crushed chess grandmaster Garry Kasparov, illustrating that AI has not only come a long way in a short time but is on track to creating unthinkable opportunities across all industries that will add new value to our lives. The recent explosion in AI is enabled by a number of factors including a wider availability of GPUs, virtually infinite amounts of data, and more advanced machine and deep learning algorithms.

What AlphaGo Zero Means for the Future of AI EE Times


Intel's Bob Rogers explains the possibilities that emerge as AI progresses beyond standard machine learning. DeepMind's self-taught Go champion is just the beginning. DeepMind, the division of the Alphabet conglomerate that is devoted to artificial intelligence, recently announced that its Go-playing AI, called Alpha Go, had evolved into a new iteration it calls AlphaGo Zero. The reason for the zero is that the new version is capable of teaching itself how to win the game from scratch. "Zero is even more powerful and is arguably the strongest Go player in history," according to the DeepMind announcement.

PokerBot: Create your poker AI bot in Python


In this tutorial, you will learn step-by-step how to implement a poker bot in Python. First, we need an engine in which we can simulate our poker bot. It also has a GUI available which can graphically display a game. Both the engine and the GUI have excellent tutorials on their GitHub pages in how to use them. The choice for the engine (and/or the GUI) is arbitrary and can be replaced by any engine (and/or GUI) you like.

Computer Poker Program 'Libratus' Earns 'Best Use of AI' Award


The Pittsburgh Supercomputing Center received five @HPCwire awards, including one for poker AI'Libratus' The Pittsburgh Supercomputing Center (PSC) received not one, but five HPCwire awards at the 2017 International Conference for High-Performance Computing (HPC), Networking, Storage and Analysis (SC17) on Sunday, Nov. 12. One of the three Readers' Choice Awards that PSC received was for Best Use of AI: CMU School of Computer Science "Libratus" AI on PSC's "Bridges" wins Brains vs. AI competition. HPCwire represents the leading trade publication in the supercomputing community and their annual Readers' and Editors' Choice Awards, given out at the start of the annual supercomputing conference, are well respected in that community. The awards are determined based on a nomination and voting process among the HPCwire community as well as selections from the publication's editors. In addition to Best Use of AI, PSC received two more Readers' Choice Awards -- Outstanding Leadership in HPC (Nick Nystrom, Interim Director, PSC) and Best Use of HPC in Energy (PSC with Texas A&M uses OpenFOAM on PSC Bridges & Texas Advanced Computing Center's Stampede to better understand coolant & heat transfer in high-temperature-jet reactors).



A dozen or so companies are well-positioned to reap big profits from the burgeoning market for artificial intelligence (AI), Barron's reports. Among these companies are: semiconductor manufacturers Micron Technology Inc. (MU) and Nvidia Corp. (NVDA); Google parent Alphabet Inc. (GOOGL); database management software developer Oracle Corp. (ORCL); online merchant and cloud-computing leader In 1997, IBM scored a major milestone in AI history when its Deep Blue program beat reigning world chess champion Gary Kasparov, still considered by many experts to be the best player of all time. IBM's Watson question answering system passed a high-profile test in 2011, beating two top former champs on Jeopardy!, the long-running quiz show on TV. Since then, Watson has been rolled out for general commercial use, most notably to aid doctors in making diagnoses.

AI to help, not confront humans, says AlphaGo developer Aja Huang


AI (artificial intelligence) will not confront human beings but serve as tools at their disopal, as human brain will remain the most powerful, although some say AI machines may be able to talk with people and judge their emotions in 2045 at the earliest, according to Aja Huang, one of the key developers behind AlphaGo, an AI program developed by Google's DeepMind unit. Huang made the comments when delivering a speech at the 2017 Taiwan AI Conference hosted recently by the Institute of Information Science under Academia Sinica and Taiwan Data Science Foundation. Huang recalled that he was invited to join London-based Deep Mind Technologies in late 2012, two years after he won the gold medal at the 15th Computer Olympiad in Kanazawa in 2010. In February 2014, DeepMind was acquired by Google, allowing the AI team to enjoy sufficient advanced hardware resources such as power TPU (tensor processing unit) and enabling them to work out the world's most powerful AI program AlphaGo, which has stunned the world by beating global top Go players. In March, 2016, AlphaGo beat Lee Sedol, a South Korean professional Go player in a five-game match, marking the first time a computer Go program has beaten a 9-dan professional without handicaps.

Data Drives AI Businesses


Yao Xin is Founder of PPLIVE and an alumnus of the 3rd CEIBS Entrepreneurial Leadership Camp. "Why is there so much discussion about artificial intelligence these days? I think it's likely because of last year's Man vs Machine battle between world Go champion Lee Sedol and Google DeepMind's artificial intelligence programme AlphaGo. But this wasn't the first Man vs Machine battle. In 1996 Chess Grandmaster Garry Kasparov won four out of a series of six chess matches played against the IBM supercomputer Deep Blue.

AI: How big a deal is Google's latest AlphaGo breakthrough?


Earlier this year Google revealed AlphaGo Zero, a machine-learning system that in a short space of time was able to become a world master at the notoriously complex game of Go. AlphaGo Zero played "completely random" games against itself, and then learnt from the results. In just three days it was able to defeat by 100 games to 0 the version of AlphaGo that defeated the Go world champion Lee Se-dol in March 2016, a victory hailed as a milestone for AI development. After 21 days of playing itself it had gone even further, besting AlphaGo Master -- an online version of AlphaGo that won more than 60 straight games against top Go players, and within 40 days was able to beat all other versions of AlphaGo. At the time, DeepMind lead researcher David Silver said that achieving this level of performance in a domain as complicated as Go "should mean that we can now start to tackle some of the most challenging and impactful problems for humanity".

Microsoft Kinect Only Existed So That I Could Embarrassingly 'Just Dance'


Microsoft has finally decided that the Kinect is no longer a viable standalone device to keep in production. This makes sense as the technology has been utilized for innovations such as Cortana and Hololens. Microsoft will continue to support the device (the Kinect will still work with whatever Xbox you've got it plugged in to) because Microsoft knows that it would be a fatal error to take away my ability to Just Dance. My Kinect, which is my second Kinect, is plugged into a Xbox One and its sole purpose in this world is to track my movements as I less-than-rhythmically jostle my body around while trying to follow some disco viking tripping out to the beat of "Pound the Alarm" by Nicki Minaj (extreme version). The current high score on that track is 11,270, which belongs to my daughter, who beat me by 50 points.