Stylianos Venieris, Senior Research Scientist at Samsung AI, Cambridge, United Kingdom, to speak at ECE-NTUA on May 10, 2024, at 12:00 (Conference Hall, New ECE Building, ground floor)

Lecture Title: Rethinking AI Computing at the Consumer Edge: New Challenges and Systems Consideration

Stylianos Venieris, Senior Research Scientist at Samsung AI, Cambridge, United Kingdom

Abstract: In the last few years, the rapid progress of deep learning and deep neural networks (DNNs) has enabled the embedding of intelligence across consumer devices, be it voice assistants, smart cameras, or home robots. Nonetheless, recent trends strongly indicate that the next decade of consumer intelligence will require unprecedented levels of computational resources in order to cope with the demands of the new AI use-cases. In this talk, we argue for a paradigm shift towards the next generation of Consumer Edge-AI Computing. We'll start by discussing the new computational challenges of next-generation AI systems. Next, we'll introduce the notion of among-device intelligence, where multiple devices collaborate with each other through the fluid sharing of both context information and computational resources. Finally, we'll discuss how novel components, such as adaptive neural models, multi-DNN accelerators and fluid batching schemes, can be the key towards bringing performant and efficient intelligence to the consumer edge.

Short bio: Stylianos Venieris is currently a Senior Research Scientist at Samsung AI, Cambridge, United Kingdom, where he leads the Distributed AI group. He received his PhD in Reconfigurable Computing and Deep Learning from Imperial College London in 2018 and his MEng degree in Electrical and Electronic Engineering from Imperial College London in 2014. His latest research interests include highly flexible inference systems for mobile and embedded platforms, custom hardware accelerators for deep neural networks, and continual federated learning.

Streaming link: https://centralntua.webex.com/centralntua/j.php?MTID=m44237f153dae956b861195368acf3f2a