TECoSA Seminar – Efficient Inference at the Edge
November 3, 15:00 – 16:00
We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time. For Autumn 2022, the talks will be on-line or hybrid. All are welcome to attend and we look forward to some lively discussions. Members can accept the invitations, non-members can email firstname.lastname@example.org to register.
Our November seminar is with Professor Axel Jantsch, Professor of systems on chips at TU Wien. The session will be given in real life on KTH Campus, and also available via Zoom (details to be announced).
ABSTRACT: The presentation will review the design space, the trade-offs and the available options for implementing Deep Neural Networks in resource constrained embedded devices. Going into depth, the talk will present:
~ a detailed, layer-wise power and delay profiling of neural network inference, and
~ pruning based network compression techniques.
BIO: Axel Jantsch received the Ph.D. degree from TU Wien, Vienna, Austria, in 1992. From 2002 to 2014, he was a full professor in electronic systems design at KTH. Since 2014, he has been a Professor of systems on chips at TU Wien, Vienna, Austria. His current research interests include systems on chips, self-aware cyber-physical systems, and embedded machine learning. You can read more on his homepage: https://jantsch.se/AxelJantsch/HomePage/research.html