Perception and planning are the foundations of autonomy for natural and artificial systems. With the rapid advances of perceptive and generative AI models, we can now envision artificial autonomous systems, "embodied agents", with capabilities that were simply unimaginable a few years ago. To materialize the vision, we must design "artificial brains" for these agents, i.e. embedded computing architectures achieving extreme energy efficiency, while ensuring safety, security and real-time predictability. In this talk I will describe architectural patterns that can help us tackle this formidable challenge, delve into their silicon implementations, and outline a path for future evolution.
Luca Benini holds the chair of digital Circuits and systems at ETHZ and is Full Professor at the Università di Bologna. His research interests are in energy-efficient parallel computing 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. He is the recipient of several awards, including the 2023 IEEE CS E.J. McCluskey Award, and the 2024 IEEE CS Open Source Hardware contribution Award.