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Oriol Vinyals | Google DeepMind

Research Director in Deep Learning

Oriol Vinyals | Google DeepMind

Research Director in Deep Learning

Biography

Oriol Vinyals is a Principal Scientist at Google DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award. His research has been featured multiple times at the New York Times, Financial Times, WIRED, BBC, etc., and his articles have been cited over 75000 times. Some of his contributions such as seq2seq, knowledge distillation, or TensorFlow are used in Google Translate, Text-To-Speech, and Speech recognition, serving billions of queries every day, and he was the lead researcher of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft, achieving Grandmaster level, also featured as the cover of Nature. At DeepMind he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, deep learning and reinforcement learning.

Deep Learning Toolbox in 2020

Hardware, software, datasets, architectures, or loss functions are a few of the components that have received a lot of enthusiastic focus by the machine learning community in the past decades. Combinations of these tools have enabled incredible applications and breakthroughs in a vast array of areas. In this talk, I will give an overview of the latest and greatest of what’s happening in our community, whilst highlighting the most notable applications. I will also depict some of the open challenges and advances likely to happen in the next few years.

All session by Oriol Vinyals | Google DeepMind