ACAT 2017 Seattle

The next ACAT1 “AI Reloaded” with a strong emphasis in Artificial Intelligence in Physics Research will be held in Seattle August 21-25 2017 (see here for more, ACAT Poster).   Join us…

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  1. Advanced Computing and Analysis Technology in Physics Research

AI is nature inspired

Artificial intelligence is deeply-rooted to the observation of natural processes making many AI algorithms nature-inspired. Some are trying with difficulty to reproduce human/animal capabilities like pattern recognition or  “acting intelligently”, other are providing super-humans performances, pushing to the edge simple human repetitive tasks like searching/sorting/making correlations like in deep mining. Continue reading “AI is nature inspired”

Learning loop integrals playing Go

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Lee Sedol playing against AlphaGo (Lee Jin-man / AP , the New Yorker)

Go game and loop integrals

At  the ACAT workshop held in Tsukuba  in 2003, Jos Vermasseren (NIKHEF, Amsterdam) compared the strategies in the game of Go and in solving equations for loop integrals in his presentation “The rules of physics“. Loop integrals are elements of computations appearing in computing higher order Feynman diagrams, at the kernel of any precise prediction for High Energy Physics (HEP).

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