Quantum Deep Learning by Daniel Persson

Daniel Persson is a theoretical physicist and mathematician with a background from research in String Theory. Although his primary field is mathematics, he is also researching together with a WASP PhD student how one can use theoretical physics to understanding modern machine learning algorithms, and, in particular, neural networks. Ever wondered what Quantum Deep Learning is? Go find out!

Talk by Daniel Persson at the 2019 GAIA Conference held at Lindholmen Conference Centre on 9th of April 2019.

Тэги:

#Artificial_Intelligence #Machine_Learning #Data_Science #Conference #GAIA #GAIA2019 #Gothenburg_Artificial_Intelligence_Alliance #Lindholmen #Gothenburg

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