About the event

Securing AI Models on Shared Hardware
Explore recent advancements in protecting AI models deployed on shared hardware platforms. This session highlights potential risks such as side-channel attacks and presents emerging strategies to safeguard model integrity and confidentiality.

Energy-Efficient AI Hardware Architectures
As AI computing demands grow, energy efficiency becomes a key design priority. This talk showcases innovative hardware approaches like in-memory computing and neuromorphic systems that aim to significantly reduce energy consumption while maintaining performance.