Experts: Google AI against Go Champion
āAfter an extraordinarily close contest, Googleās artificially intelligent Go-playing computer system has beaten Lee Sedol, one of the worldās top players, in the first game of their historic five-game match at Seoulās Four Seasons hotel. Known as AlphaGo, this Google creation not only proved it can compete with the gameās best, but also showed off its remarkable ability to learn the game on its own.ā ()
The remaining games can be livestreamed on .
, Professor, School of Computer Science, Ā鶹AV
"It is really a historic day for machine learning, especially reinforcement learning. Older large successes, like DeepBlueĀ or Jeopardy, involved significantly more engineering; AlphaGo is truly a learning entity."āDoina Precup
Professor Precup is interested in artificial intelligence andĀ machine learning.
She's not available today between 11:00 AM - 12:00 PM and 2:30-3:30 PM. She's not available tomorrow between 10 AM - 11:30 AM.
dprecup [at] cs.mcgill.ca (English, French)
, Professor, School of Computer Science, Ā鶹AV
"The game of Go has been a milestone for AI researchers for several years. Many people thought we would not attain human-level performance for another decade. Ā It's exciting to see the pace of progress!Ā Of course we'll be watching closely for the results of the other upcoming games."āJoelle Pineau
Two of the main researchers (Arthur Guez, Marc Lanctot) on Google'sĀ DeepMind team are alumni of the School of Computer Science at Ā鶹AV.Ā Mr. Guez didĀ his MSc under ProfessorĀ Pineau's supervision. She co-directsĀ theĀ .
She's available today between 1:30-2 PM and 3:30-4 PM today. Tomorrow, between 1-2:30 PM. Friday, between 10:30-11 AM.
jpineau [at] cs.mcgill.ca (English, French)
, Director, School of Computer Science, Ā鶹AV
āThe game of āgoā is far more complex and challenging for a computer than chess, yet it was only a matter to time before a computer mastered it.Ā For decades games were the standard of performance for emerging artificial intelligence. Those challenges are past and we are in an eraĀ when robotics and intelligent machines will gradually meet and surpass any remaining reasonable intellectual challenge we can propose. This success is especially striking since it exemplified a new class of solution that is much closer to how humans plan this and other games.ā āGregory Dudek
Heās the Director ofĀ . Heās interested in robot navigation, mobile robotics, robot localization, information summarization, human-robot interaction, sensor-based robotics, multi-robot systems, computer vision, vision, recommender system, web services, recognition.
dudek [at] cim.mcgill.ca. 1-514-398-4325. Heās not available Wednesday between 10-11:45 AM and Thursday, 11:00-11:30 AM. (English, French)
