Invited Talks
Kunle Olukotun
Dawn Song

Data is a key driver of modern economy and AI/machine learning, however, a lot of this data is sensitive and handling the sensitive data has caused unprecedented challenges for both individuals and businesses, and these challenges will only get more severe as we move forward in the digital era. In this talk, I will talk about technologies needed for responsible data use including secure computing, differential privacy, federated learning, as well as blockchain technologies for data rights, and how to combine privacy computing technologies and blockchain to building a platform for a responsible data economy, to enable the creation of a new type of asset, i.e., data assets, more responsible use of data and fair distribution of value created from data.

Ryan Adams

Advances in machine learning are having exciting impacts in a variety of domains from neuroscience to chemistry to astronomy. Machine learning has been somewhat slow to interface with more traditional engineering domains such as mechanical, civil, and chemical engineering. Nevertheless, there is huge potential for ML to accelerate everything in the engineering design cycle: CAD, simulation, fabrication, and control. In this talk I will discuss some of the exciting work starting to happen at this interface—from deep generative modeling to differentiable physical simulation---and take a look forward at what might be possible.

Ryan Adams is a machine learning researcher and Professor of Computer Science at Princeton University. Ryan completed his Ph.D. in physics under David MacKay at the University of Cambridge, where he was a Gates Cambridge Scholar and a member of St. John's College. Following his Ph.D. Ryan spent two years as a Junior Research Fellow at the University of Toronto as a part of the Canadian Institute for Advanced Research. From 2011-2016, he was an Assistant Professor at Harvard University in the School of Engineering and Applied Sciences. In 2015, Ryan sold the company he co-founded, Whetlab, to Twitter and he spent three years in industry at Twitter …