Autonomous systems, such as robots, cars and satellites, are now AI-first
designs, and require sustained energy efficiency improvements in the
design of their control and intelligence functions. Efficiency is
not the only key constraint, as safety and long-term reliability are
extremely critical for autonomous operation. To tackle the compound
challenge, we need to aggressively optimize efficiency, leveraging
specialization across all levels of the design hierarchy, pushing into
domain-specific design automation tools and methodologies, while at
the same time accounting for the increasing reliability concerns in
advanced integrated-circuits technologies. In this talk, Luca Benini
will give concrete examples of deep domain specialization, for
efficient and safe, reliable operation, emphasizing the strategic
importance of an end-to-end open-platform approach.
Prof. Dr. Luca Benini holds the chair of digital Circuits and systems at ETHZ and is Full Professor at the Università di Bologna. He received a PhD from Stanford University. His research interests are in energy-efficient parallel computing systems, smart sensing micro- systems and machine learning hardware. He is a Fellow of the IEEE, of the ACM, a member of the Academia Europaea and of the Italian Academy of Engineering and Technology.
More keynotes announced soon.