Room: Sala Agave


09:30- 10:30 Practical lessons from applying ML in industry

10:30- 11:30 Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning

Coffee Break

12:00- 13:30 Poster Session

Lunch and Afternoon Activities

18:00- 19:00 Panel Discussion

19:00- 20:00 Disney Research – Creating the Magic with Information Technology

Gala Dinnner

Abstracts


Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning

Shai Shalev-Shvartz, The Hebrew University of Jerusalem

I will describe two contradicting lines of work. On one hand, a practical work on autonomous driving I was doing at Mobileye, in which deep learning is one of the key ingredients. On the other hand, theoretical work I was doing at the Hebrew university showing strong hardness of learning results. Bridging this gap is a great challenge. I will describe some approaches toward a solution, focusing on 'practically relevant theory' and 'theoretically relevant practice'.



Disney Research – Creating the Magic with Information Technology

Markus Gross, Disney Research

Disney Research was launched in 2008 as a network of research laboratories that collaborate closely with academic institutions such as the Swiss Federal Institute of Technology in Zurich and Carnegie Mellon University. Its mission is to push the frontiers of technology in areas relevant to Disney's creative entertainment businesses. Disney Research develops innovations for Parks, Film, Animation, Television, Games, and Consumer Products. Research areas include video and animation technologies, postproduction and special effects, digital fabrication, robotics, and much more. This talk gives an overview of Disney Research spiced with some examples of our latest and greatest inventions. The focus is on the collaboration between ETH Zurich and the Walt Disney Company displaying the synergies arising from this program. This talk will highlight a company perspective as well as a view from the academic angle.