Media Summary: Dr. Vivienne Sze is an associate professor in the EECS department at MIT. Vivienne is recognized for her leading work on ... In this video, our research work is presented: “RAMAN: Resource- Abstract: As the silicon technology approaches the Post-Moore's Law Era,
Efficient Algorithm Hardware Co Design - Detailed Analysis & Overview
Dr. Vivienne Sze is an associate professor in the EECS department at MIT. Vivienne is recognized for her leading work on ... In this video, our research work is presented: “RAMAN: Resource- Abstract: As the silicon technology approaches the Post-Moore's Law Era, Presentation at edge ai + vision alliance: ... Talk Title: Acceleration of bioinformatics workloads through Webinar Archive – Now Available! In this webinar, Prof. Priyadarshini (Priya) Panda, from the Intelligent Computing Lab at Yale ...
This is the recording of my invited online talk at the Washington DC Quantum Computing Meetup on June 7, 2026. Talk title: ... This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ... Keynote by Prof. Deming Chen, UIUC (VAST Lab Alumni) at ROAD4NN Workshop. Originally posted at ... More accurate machine-learning requires larger models – but large models pose problems both in the training and inference ...
![Once-for-All DNNs: Simplifying Design of Efficient Models for Diverse Hardware, [Invited Talk]](https://i.ytimg.com/vi/g3ujV7q0wZk/mqdefault.jpg)
