Toward End-to-End Open Platforms and Chips for Embodied AI

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Topic: 
Toward End-to-End Open Platforms and Chips for Embodied AI
Thursday, January 16, 2025 - 4:30pm to 5:30pm
Venue: 
Lathrop 014
Speaker: 
Luca Benini - ETH Zurich & Università di Bologna
Abstract / Description: 

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AI is accelerating into the generative era, and it is poised to disrupt multiple businesses, especially as AI capabilities are being "embodied" everywhere, from earbuds to cars.  Embodied AI needs to tackle major challenges in energy efficiency, safety, security, and real-time predictability, while curtailing computational complexity. In this talk I will focus on chip and system design for embodied AI, moving from ultra-low power AI-accelerated MCUs for smart wearables to large Chiplet-based systems-in-package for intelligent cars and satellites. I will emphasize the strategic importance of an end-to-end (models, software, instruction set architecture, digital IPs, EDA, PDKs) open-platform approach to ensure a healthy innovation ecosystem, long term sustainability, safety and security.

Bio: 

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. He is the recipient of the 2016 IEEE CAS Mac Van Valkenburg award, the 2020 EDAA achievement Award, the 2020 ACM/IEEE A. Richard Newton Award, the 2023 IEEE CS E.J. McCluskey Award, and the 2024 IEEE CS Open Source Hardware contribution Award.