AlphaCode Attention Visualization. Hover over tokens in the solution to see which tokens the model attended to when generating the solution. Click a token to select it; clicking in empty space will deselect.

Explore how moves played by AlphaGo compare to those of professional and amateur players. This tool provides analysis of thousands of the most popular opening sequences from the recent history of Go, using data from 231,000 human games and 75 games that DeepMind's AlphaGo played against human players

AlphaGo Fan 与樊麾的 5 盘对局 AlphaGo Lee 在 Google DeepMind 挑战赛与李世石的 5 盘对局 AlphaGo Master 的 60 盘网络对局 AlphaGo Master 在中国乌镇围棋峰会中的 5 盘对局; 此AlphaGo教学工具由黃士杰、樊麾和Lucas Baker共同研发。

This work shows how models like Ithaca can unlock the cooperative potential between AI and historians, transformationally impacting the way we study and write about one of the most significant periods in human history.

AlphaGo Fan 與樊麾的 5 盤對局 AlphaGo Lee 在 Google DeepMind 挑戰賽與李世石的 5 盤對局 AlphaGo Master 的 60 盤網路對局 AlphaGo Master 在中國烏鎮圍棋峰會中的 5 盤對局; 此AlphaGo教學工具由黃士傑、樊麾和Lucas Baker共同研發。

AlphaGo と棋士たちの手を比較してみましょう。このツールは、よくある序盤パターンを、人同士が打った 231,000 局と、DeepMind 開発の AlphaGo が人と対局した 75 局の棋譜データから分析することができます。