A computer scientist has published a paper detailing how systems can successfully win at boardgames after watching two minute-long videos of humans playing. Using visual recognition software while processing video clips of people playing Connect 4, Gomoku, Pawns and Breakthrough — including games ending with wins, ties or those left unfinished — the system would recognise the board, the pieces and the different moves that lead to each outcome. A unique formula then enabled the system to examine all viable moves when playing and, using data gathered from all possible outcomes, calculate the most appropriate move. Read the full story at Wired.
About Shelly Palmer
Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with technology, media and marketing. Named LinkedIn’s “Top Voice in Technology,” he covers tech and business for Good Day New York, is a regular commentator on CNN and writes a popular daily business blog. He's a bestselling author, and the creator of the popular, free online course, Generative AI for Execs. Follow @shellypalmer or visit shellypalmer.com.