deep learning
In 2006, after visiting the Computer History Museum's exhibit on Chess [https://blog.codinghorror.com/chess-computer-v-human/], 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
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