Events for December 04, 2024
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ECE Seminar: Biologically Inspired Algorithm and Hardware Co-Design for Efficient Machine Intelligence
Wed, Dec 04, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Priya Panda, Assistant Professor, Electrical & Computer Engineering Department, Yale University
Talk Title: Biologically Inspired Algorithm and Hardware Co-Design for Efficient Machine Intelligence
Abstract: Artificial Intelligence (AI) is poised to revolutionize society, yet its escalating energy demands pose a formidable challenge to its long-term sustainability. The staggering gap in energy consumption between biological (Human Brain @20watts) and artificial intelligence (ChatGPT @100KWatts) is striking. My research aims to bridge this gap with a bio-inspired, integrative approach, where algorithm-hardware co-design and neuromorphic computing converge to create intelligent, energy-efficient systems. In this talk, I will talk about my group’s recent efforts towards enabling and democratizing spike-based machine intelligence design, simulation, and evaluation across different applications. I’ll explore the distinctive benefits of Spiking Neural Networks (SNNs), especially the use of temporal dynamics, which enhances robustness while offering significant gains in latency, energy efficiency, and accuracy in tasks like video segmentation, human activity recognition, and event sensing. From a hardware perspective, I’ll examine how memory and sparsity management can accelerate SNNs on general-purpose platforms, introducing techniques like input-aware dynamic temporal exit and scaling-free quantization for efficient weight and activation compression. Finally, I will share a vision for the future of energy-efficient AI, where our ongoing efforts in input-aware adaptive computation for large foundation models hold promise for developing end-to-end edge cloud intelligent systems capable of visual, language and multi-faceted visual-language processing. This approach opens the door to deploying low-power embodied AI and robotics.
Biography: Priya Panda is an assistant professor in the Electrical & Computer Engineering department at Yale University, USA and a Visiting Faculty Researcher at Google DeepMind with the vision and compilers/architectures team. She received her B.E. and Master's degree from BITS, Pilani, India in 2013 and her Ph.D. from Purdue University, USA in 2019. During her PhD, she interned in Intel Labs where she developed large scale spiking neural network algorithms for benchmarking the Loihi chip. She is the recipient of the 2019 Amazon Research Award, 2022 Google Research Scholar Award, 2022 DARPA Riser Award, 2023 NSF CAREER Award, 2023 DARPA Young Faculty Award, and the inaugural 2024 Purdue Engineering 38 under 38 award. She has also received the 2022 ISLPED Best Paper Award, 2022 IEEE Brain Community Best Paper Award and 2024 ASP-DAC Best Paper Nomination. Her research interests lie in Spiking Neural Networks, Efficient AI algorithm and hardware design.
Host: Dr. Peter Beerel, pabeerel@usc.edu
Webcast: https://usc.zoom.us/j/96755228104?pwd=NR5BYktbr3Yw36DWAtj5cakkt1qQR0.1 (USC NetID login required)Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/96755228104?pwd=NR5BYktbr3Yw36DWAtj5cakkt1qQR0.1 (USC NetID login required)
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
