AI Weekly 1 September 2018

//AI Weekly 1 September 2018

AI Weekly 1 September 2018

Hi! New AI Weekly is here! Enjoy your weekend reading AI news and don’t forget to share it with your friends 😉


Scientists identify a new kind of human brain cell – one of the most intriguing questions about the human brain is also one of the most difficult for neuroscientists to answer: What sets our brains apart from those of other animals? In a new study published in the journal Nature Neuroscience, Ed Lein and his colleagues reveal one possible answer to that difficult question. The research team, co-led by Lein and Gábor Tamás, Ph.D., a neuroscientist at the University of Szeged in Szeged, Hungary, has uncovered a new type of human brain cell that has never been seen in mice and other well-studied laboratory animals.

Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?


AI Opportunities: Transforming Coverage of Live Events – The AI in Production team at BBC R&D is looking at some of the ways that Artificial Intelligence (AI) and machine learning could transform the business of producing media.


Training Keras with GPUs & Serving Predictions with Cloud ML Engine


Machine Learning in Swift – Simple recommendation algorithm for Fitbit.

Machine learning environment setup within 10min!!!


Fisher Information and Natural Gradient Learning of Random Deep Networks  – many methods for approximating the natural gradient have been introduced. This paper uses statistical neurodynamical method to reveal the properties of the Fisher information matrix in a net of random connections under the mean field approximation. Authors prove that the Fisher information matrix is unit-wise block diagonal supplemented by small order terms of off-block-diagonal elements, which provides a justification for the quasi-diagonal natural gradient method by Y. Ollivier.

By |2018-09-01T11:32:14+00:00September 1st, 2018|AI Weekly|0 Comments

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