chess


Just Months Old, a Game-Playing A.I. Takes on the World

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Competition between humans and artificial intelligence (A.I.) usually plays out in research papers. Occasionally, there's a public performance of a game of chess or Go in front of a staid crowd. Last month in Vancouver, British Columbia, however, I saw something entirely different. The Canadian city was playing host to The International, an annual tournament for the video game Dota 2 boasting a $25 million prize pool -- the largest in esports history. The event was raucous, tribal.


How Investors Use Artificial Intelligence in the Stock Market - Beth.technology

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In episode 3 of Tech Lightning Rounds, Beth Kindig goes directly to the source of artificial intelligence expertise and hosts discussions with technologists who specialize in the field. Interviews are held in "lightning round" format, which are rapid interviews with tech experts for immediate depth on each topic. Artificial intelligence makes it possible for machines to learn from experience. To adjust for superior intelligence, the machines are trained as more data is analyzed. Highly publicized uses for AI include chess matches or self-driving cars.


Machine Learning and AI: The puzzle is not solved yet

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The most buzzed-about disruptive technologies that are changing business landscapes today are Machine Learning (ML) and Artificial Intelligence (AI). Almost all of us have heard or read about them but do we actually know what the fuss is all about? The enterprises are trying to harness the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines. However, there's still a lot of confusion within the public and the media regarding what is ML and AI. People prefer to write AL and ML technologies -- and not ML and AI -- and the argument goes that the former syncs well with the human mind.


Artificial Intelligence and Machine Learning - Business Optimizer

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Many claims have been made about the potential of artificial intelligence and machine learning – with predictions ranging from dystopian wastelands to intelligent societies in which we can all enjoy better health and leisure time. Which is closer to the truth? Whichever end of the utopia/dystopia scale you tend to err towards, it is worth considering the words of the late, great Stephen Hawkins. Despite benefiting from machine intelligence that enabled him to talk, Hawkins repeatedly warned about artificial intelligence one day spelling "the end of the human race". Since the 1980s, advanced computer-based speech prediction helped Hawkins cope with neurological disease.


Artificial Intelligence and Machine Learning - Business Optimizer

#artificialintelligence

Many claims have been made about the potential of artificial intelligence and machine learning – with predictions ranging from dystopian wastelands to intelligent societies in which we can all enjoy better health and leisure time. Which is closer to the truth? Whichever end of the utopia/dystopia scale you tend to err towards, it is worth considering the words of the late, great Stephen Hawkins. Despite benefiting from machine intelligence that enabled him to talk, Hawkins repeatedly warned about artificial intelligence one day spelling "the end of the human race". Since the 1980s, advanced computer-based speech prediction helped Hawkins cope with neurological disease.


Machine Learning and AI: The puzzle is not solved yet

#artificialintelligence

The most buzzed-about disruptive technologies that are changing business landscapes today are Machine Learning (ML) and Artificial Intelligence (AI). Almost all of us have heard or read about them but do we actually know what the fuss is all about? The enterprises are trying to harness the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines. However, there's still a lot of confusion within the public and the media regarding what is ML and AI. People prefer to write AL and ML technologies -- and not ML and AI -- and the argument goes that the former syncs well with the human mind.


Robot Arm, Chess Computer Vision - Daniel's Blog

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The game of chess is one of the world's most popular two-player board games. I often times find myself wanting to play even when no one is around to play. One solution to this problem is to play chess on a computer or mobile device against. However, many people would agree with me in thinking that playing a virtual game of chess is a completely different experience than playing a physical game of chess. For this reason, I intend to use this project as an opportunity to build a 6 degree of freedom robotic arm that will take the place of an opponent in a physical game of Chess.


The relationship between Biological and Artificial Intelligence

arXiv.org Artificial Intelligence

Intelligence can be defined as a predominantly human ability to accomplish tasks that are generally hard for computers and animals. Artificial Intelligence [AI] is a field attempting to accomplish such tasks with computers. AI is becoming increasingly widespread, as are claims of its relationship with Biological Intelligence. Often these claims are made to imply higher chances of a given technology succeeding, working on the assumption that AI systems which mimic the mechanisms of Biological Intelligence should be more successful. In this article I will discuss the similarities and differences between AI and the extent of our knowledge about the mechanisms of intelligence in biology, especially within humans. I will also explore the validity of the assumption that biomimicry in AI systems aids their advancement, and I will argue that existing similarity to biological systems in the way Artificial Neural Networks [ANNs] tackle tasks is due to design decisions, rather than inherent similarity of underlying mechanisms. This article is aimed at people who understand the basics of AI (especially ANNs), and would like to be better able to evaluate the often wild claims about the value of biomimicry in AI. Acknowledgements I thank Kate Wilkinson for extensive editing and proofreading of this article. Dr Kristjan Kalm's critical review of this article was essential for its scientific integrity; however, not all views expressed in this article reflect Kristjan's own views. Finally, I would like to thank illumr Ltd, especially its founder and CEO Jason Lee, for sponsoring this work. Symbolic AI was the prevailing approach to AI until the early 90's.


In 1983, This Bell Labs Computer Was the First Machine to Become a Chess Master

IEEE Spectrum

Chess is a complicated game. It's a game of strategy between two opponents, but with no hidden information and all of the potential moves known by both players at the outset. With each turn, players communicate their intent and try to anticipate the possible countermoves. The ability to envision several moves in advance is a recipe for victory, and one that mathematicians and logicians have long found intriguing. Despite some early mechanical chess-playing machines--and at least one chess-playing hoax--mechanized chess play remained hypothetical until the advent of digital computing.


Does Artificial Intelligence Replace Thinking?

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Artificial intelligence (AI) delivers many truly amazing capabilities. Vendors are even showing the potential of AI-driven software to personalize customer experience in an organizationally aligned way, making automated adjustments to pricing, messaging, operations, and finance, all optimized for one sale. If this sounds like science fiction, it is. I am combining a few technologies here, including customer relationship management and integrated enterprise resource planning platforms. These systems feed the current trend toward extreme personalization, also known as personalization to a level of one.