Last week, machine learning took a big leap forward when Google’s AlphaGo, a machine algorithm, beat the world champion, Lee Sedol, in the game Go. An ancient Chinese board game that dates back nearly 3,000 years, Go is played on a 19-by-19 square grid, with each player trying capture the opponent’s territory. Unlike Western chess that has around 40 turns in a game, Go can go up to 200. The number of possible outcomes quickly compounds to a bewildering range of 10,761 — more than the total number of atoms in the entire observable universe. It was thought it would take at least another 10 years before a machine could beat a human in Go.
AlphaGo and the Declining Advantage of Big Companies
Machine intuition will challenge the benefits of scale.
March 24, 2016
New!
HBR Learning
Digital Intelligence Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Excel in a world that's being continually transformed by technology.
Learn More & See All Courses
New!
HBR Learning
Digital Intelligence Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Excel in a world that's being continually transformed by technology.