Go is an ancient board game from China that dates back over 3,000 years. Over the last 500 years - since the beginning of the professional system in Japan - Go masters have dedicated their lives to understanding Go strategy, building upon the knowledge and wisdom established by top players in previous generations. Professional tournament systems in Japan, China, and Korea have supported the careers of numerous players. In 2016, Google DeepMind shocked the world by demonstrating AlphaGo, a computer AI that defeated a world champion for the first time in history. The rise of superhuman-strength AI has forced Go players to rethink the mission of professional players. If AI can show us the ultimate strategy, why should anyone dedicate one's life to studying Go? At the same time, AlphaGo's moves are inspiring professional players to take their games to the next level, revealing powerful new strategies and reviving old techniques that had fallen out of favor in contemporary Go. I will discuss the impact of Go-playing AI on the world of Go from the perspective of a former Go professional and organizer of the Google DeepMind Challenge Match.

Hajin Lee (University of Geneva)
Seminar, November 29, 2017

Professor Joshua Gans, Author “Prediction Machines”, Professor of Strategic Management at University of Toronto

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#cogx18 (edited)

While much of this technology is still fairly rudimentary at the moment, we can expect sophisticated AI to one day significantly impact our everyday lives.

In this episode of TensorFlow Meets, Laurence Moroney sits down with Jeff Dean, a Google Senior Fellow working in the area of Machine Intelligence Engineering. Laurence taps into Jeff’s insights about machine learning (ML) and how it’s impacting many different engineering domains and scientific domains in general. Jeff Dean and his team have conducted research on how to use ML to tackle quantum chemistry problems at ~300,000x the speed of traditional methods. From broadening research horizons to decreasing the cost of solar energy and increasing the efficiency of health care systems, ML has massive potential to solve global problems. Subscribe to the channel and stay tuned for more TensorFlow Meets!

TF Dev Summit '18 Keynote w/ Jeff Dean → https://goo.gl/k81f5N

TensorFlow Meets Playlist → https://goo.gl/Wy3DSc
Subscribe to the TensorFlow channel → https://goo.gl/ht3WGe

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