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Events for December 04, 2024
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EiS Communications Hub - Tutoring for Engineering Ph.D. StudentsWed, Dec 04, 2024 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come to the EiS Communications Hub for one-on-one tutoring from Viterbi faculty for Ph.D. writing and speaking projects!
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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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
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Computer Science General Faculty Meeting
Wed, Dec 04, 2024 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty and staff only. Event details emailed directly to attendees.
Location: Ginsburg Hall (GCS) - 107
Audiences: Invited Faculty Only
Contact: Julia Mittenberg-Beirao
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AME Seminar
Wed, Dec 04, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Moumita Das, Rochester Institute of Technology
Talk Title: Rigidity and Resilience of Network-like Soft Materials: Insights from Biopolymer Networks and Circadian Colloids
Abstract: Living systems exhibit unique emergent properties such as self-assembly, rigidity, resilience, and robustness. In this talk, I will present results from projects that underscore the importance of understanding these collective properties in network-like soft materials and help to address key questions in the rational design of biomimetic soft materials: Can we engineer composite soft matter to display life-like emergent properties? How can we enhance the tunability and control of such soft matter systems? And, is it feasible to activate synthetic soft materials using biological processes? I will begin by examining potential physical mechanisms that underlie robust and resilient mechanical properties in biopolymer networks in cells and tissues. Utilizing rigidity percolation theory, we explore how composite and heterogeneous composition influence cell and tissue mechanics and suggest design principles for artificial constructs with tunable and robust mechanics. Following this, I will discuss the formation and manipulation of colloidal networks using functionalized clock proteins—proteins that regulate biological clocks—to engineer robust self-assembly kinetics and material properties in colloidal systems. Leveraging such protein-based reaction networks allows us to endow synthetic systems with life-like properties. Our findings demonstrate how understanding the emergent structure-function properties in biological and bio-hybrid systems can support the development of biomimetic materials that not only mirror the robustness and adaptability of living systems but also offer enhanced control over their physical properties and functions.
Biography: Moumita Das is a Professor of Physics at the Rochester Institute of Technology in Rochester, New York, and a Fellow of the American Physical Society. Das received her PhD from the Indian Institute of Science, Bangalore, and did postdoctoral research at Harvard University, University of California Los Angeles, and Vrije Universiteit, Amsterdam, before joining RIT as faculty in 2012. Her research focuses on the interplay of statistical physics, mechanics, and geometry in systems with network-like structures such as the cytoskeleton of cells, the extracellular matrix of soft tissues. Her group uses analytical and computational methods to study their emergent properties and dynamics, aiming to understand the biophysical rules of life and replicate these in synthetic biology systems with experimental collaborators. Her work is supported by awards from the National Science Foundation, the National Institutes of Health, the Keck Foundation, the Moore Foundation, and the Research Corporation. Das also currently serves on the American Physical Society's Committee for the Status of Women in Physics.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
