Jane Wang from DeepMind gave this talk NeurIPS 2019. “Building on the connection between biological and artificial reinforcement learning, our workshop will bring together leading and emergent researchers from Neuroscience, Psychology and Machine Learning to share: how neural and cognitive mechanisms can provide insights to tackle challenges in RL research and how machine learning advances can help further our understanding of the brain and behavior.”
Video: Toward a General AI-Agent Architecture
February 16, 2020 by
Richard S. Sutton from DeepMind Alberta gave this talk NeurIPS 2019. “In practice, I work primarily in reinforcement learning as an approach to artificial intelligence. I am exploring ways to represent a broad range of human knowledge in an empirical form–that is, in a form directly in terms of experience–and in ways of reducing the dependence on manual encoding of world state and knowledge.”
Video: Deep Reinforcement Learning and Systems Infrastructure at DeepMind
February 17, 2018 by
In this video from HiPEAC 2018 in Manchester, Dan Belov from DeepMind describe the company’s machine learning technology and some of the challenges ahead. “DeepMind Inc. is well known for state of the art Deep Reinforcement Learning (DRL) algorithms such as DQN on Atari, A3C on DMLab and AlphaGo Zero. I would like to take you on a tour of challenges we encounter when training DRL agents on large workloads with hundreds of terabytes of data. I’ll talk about why DRL poses unique challenges when designing distributed systems and hardware as opposed to simple supervised learning. Finally I’d like to discuss opportunities for DRL to help systems design and operation.”
HiPEAC18 Conference to Focus on Performance and Security Next Week in Manchester
January 15, 2018 by
Coming up next week in Manchester, the HiPEAC 2018 conference will once again bring together the best minds in computer architecture and compilation to exploit the enormous potential of new computing paradigms. “The HiPEAC conference is the flagship networking event of our 2000-strong community of computing experts,’ says HiPEAC coordinator Koen de Bosschere of Ghent University. “This year we are very happy to have two leading European companies (ARM for mobile computing and DeepMind for deep learning) as the main sponsors of the event. They are creating the key technological components of future smart devices.”
