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Machine learning discovers invariants of braids and flat braids

arXiv.org Artificial Intelligence

We use machine learning to classify examples of braids (or flat braids) as trivial or non-trivial. Our ML takes form of supervised learning using neural networks (multilayer perceptrons). When they achieve good results in classification, we are able to interpret their structure as mathematical conjectures and then prove these conjectures as theorems. As a result, we find new convenient invariants of braids, including a complete invariant of flat braids.


AWS DeepRacer TV - Ep 1 Amsterdam

#artificialintelligence

AWS DeepRacer TV follows the world's first autonomous racing league, an AWS / Intel-sponsored reinforcement learning competition that features developers of every background and skill level hoping to qualify for a chance to win the Championship Cup at AWS re:Invent 2019.


Ep 1: Artificial Love

#artificialintelligence

Enlai explores if we can truly love artificial intelligence, and teach it to love us back.