Co-Founder & Research Director
Director of Artificial Intelligence
Research Scientist & Post-doctoral Scholar
Google Brain & Berkeley AI Research
Senior Research Scientist
Senior Machine Learning Researcher
University of Toronto
Professor of Mathematics & Computer Science
University of Toronto
A Brief Overview of Deep Learning from Google's Ilya Sutskever. What’s so special about deep learning? Why does it work now, and how does it differ from neural networks of old? How will it impact your industry? Hear more from Ilya at the summit.Read More
Karpathy and colleagues have created artificial intelligence software capable of recognizing and describing the content of photographs and videos with far greater accuracy than ever before, sometimes even mimicking human levels of understanding.Read More
They are a dream of researchers but perhaps a nightmare for highly skilled computer programmers: artificially intelligent machines that can build other artificially intelligent machines.Read More
Google DeepMind won the Innovation Lions Grand Prix for AlphaGo, a computing system that for the first time beat the best human player at Go, an ancient game that is much more complex than chess. The Artificial Intelligence system was developed in the U.K. by DeepMind, a company acquired by Google in 2014.Read More
Sofia explains the sorts of problems faced by each of the research teams - Multi-Agent Systems (MAS), Reinforcement Learning (RL) and Probabilistic Modelling (PM) - and the kinds of solutions and strategies PROWLER.io use to solve them.Read More
Deep reinforcement learning (DRL) is an exciting area of AI research, with potential applicability to a variety of problem areas. Osaro is one AI company recognised to be applying DRL in the industrial space.Read More
UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence.Read More
Among his many accomplishments, Ba developed the Adam Optimizer, one of the go-to algorithms to train deep learning models. He was also one of the first students from a Canadian institution to win a Facebook PhD Fellowship.Read More
Stanley J. Osher has been elected to the National Academy of Engineering, for contributions to imaging, computer vision, and graphics including level-set methods and efficient compressed sensing.Read More
There are some estimates that five percent of all AI talent within the private sector are currently employed by Google. Perhaps no one among that rich talent pool has as deep a set of perspectives as Geoff Hinton. He has been involved in AI research since the early 1970s, which means he got involved before the field was really defined.Read More
Discover advances in deep reinforcement learning algorithms & methods from the world's leading innovators, from research pioneers to industry leaders, deploying applications of deep reinforcement learning in the real world, e.g. robotics, recommendations & manufacturing.
The summit will showcase academic advancements of deep RL as well as their impact in business & industry. Where do the challenges still lie in research? How can companies leverage progress? How can we apply the notion of learning from environment to process inputs & choose complex actions?
A unique opportunity to interact with engineers, research scientists, professors, and startups leading the deep reinforcement learning progression. Learn from & connect with 450+ industry innovators & researchers sharing insights, trends, recent discoveries & best practices.
View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.