PWL #06 :: Deep Neural Networks and Distributed Consensus

Hello everyone, we have great news for you!

Our sixth session will be hosted by Blip (https://blip.pt) and we'll have two amazing talks for you. We're super happy to have both Joāo Fernandes (https://bit.ly/2m9ocSe), and Miguel Palhas (https://twitter.com/naps62) talking about two great scientific topics!

Talk 1: Mastering the game of Go with deep neural networks and tree search by Joāo Fernandes

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Joāo will introduce to us this new approach to computer Go that uses value networks to evaluate board positions and policy networks to select moves.

Talk 2: Distributed Consensus by Miguel Palhas

Miguel will give us an overview of some distributed consensus algorithms, from the original Hashcash/Bitcoin to some exciting research that tries to solve the know problems from the original solutions.

Details

Doors will open around 18:30 and presentations will start after a quick introduction of the meetup, around 19:00.

After each presentation, we will open up the floor for discussion, questions and drinks!

Hope to see you soon 🎉