Software That Beat World’s Best Human ‘Go’ Player Has Roots in UMass Amherst Computer Science

AMHERST, Mass. – The ancient board game Go, played with black and white stones on a grid, is so complex that experts in artificial intelligence (AI) once believed it would be decades, if ever, before a computer could beat the best human player. But today AlphaGo, an AI program developed by Google DeepMind, has defeated the human world champion Lee Se-dol, winning the first three of five matches this week in a tournament in Seoul. The human won the fourth game, and the last will be played at 1 p.m. local time in South Korea today. A small group of computer scientists and AI experts at the University of Massachusetts Amherst whose early work in machine learning helped to shape AlphaGo’s approach are enjoying the machine’s victory. Sridhar Mahadevan, co-director…


Link to Full Article: Software That Beat World’s Best Human ‘Go’ Player Has Roots in UMass Amherst Computer Science