deep learning
In 2006, after visiting the Computer History Museum’s exhibit on Chess, I opined: We may have reached an inflection point. The problem space of chess is so astonishingly large that incremental increases in hardware speed and algorithms are unlikely to result in meaningful gains from here on out. So.
computer chess
I recently visited the Computer History Museum in nearby San Jose, which has a new exhibit on the history of computer chess. Despite my total lack of interest in chess as a game, computer chess has a special significance in the field of computer science. Chess remains the most visible
programming languages
[http://www.clive.nl/detail/24424/] The 1978 BASIC program Animal [http://www.atariarchives.org/basicgames/showpage.php?page=4] is an animal-specific variation of twenty questions [http://en.wikipedia.org/wiki/Twenty_questions]. You think of an animal, and the computer tries to guess what animal you're
machine learning
Computer geeks have a long history of gaming the gaming industry. One of the most notable exploits is documented in the book Bringing Down The House: The Inside Story of Six MIT Students Who Took Vegas for Millions [http://www.amazon.com/exec/obidos/ASIN/0743225708/codihorr-20] (read an excerpt