Dr. Peter Stone, Professor of Computer Science at the University of Texas, Austin
For robots to operate robustly in dynamic, uncertain environments, we are still in need of multidisciplinary research advances in many areas such as computer vision, tactile sensing, compliant motion, manipulation, locomotion, high-level decision-making, and many others. This talk will focus on two essential capabilities for robust autonomous intelligent robots, namely online learning from experience, and the ability to interact with other robots and with people. Examples of theoretically grounded research in these areas will be highlighted, as well as concrete applications in domains including robot soccer and autonomous driving.
Aart de Geus, Chairman and co-Chief Executive Officer, Synopsys
If "Smart Everything" is good, then "Smarter Everything" is definitely better! It's also what the semiconductor industry is betting will drive the next wave of innovation forward as digital intelligence increasingly impacts the critical intersection of software and hardware.