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Video: Deep Reinforcement Learning and Systems Infrastructure at DeepMind

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

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.”