ICON-IPAI Joint Seminar in Physical AI. Professor. Eugenio Culurciello (BME, IPAI, ECE)

Time: 3:00-4:00 pm Eastern Time, January 19 (Friday), 2024

Location: MSEE 112

Zoom Link: https://purdue-edu.zoom.us/j/98798335169?pwd=ZFNMdmZXendoQ1RCRDczM2dTR1RIdz09

Free coffee and snacks will be provided.

AI @ Limits of Learning

Abstract:

Deep Learning and neural networks have become a dominant unified algorithm to extract information from unstructured data. Using standard gradient-descent learning algorithms and scalable models, they have been a revolution in language models, image understanding, video summarization, captioning, scene understanding, speech recognition, text translation, and many more success stories coming on an almost daily basis! In this inaugural seminar co-hosted by Purdue Institute for Control, Optimization and Networks (ICON) and Institute of Physical Artificial Intelligence (IPAI), we will discuss current limitations, trends, and advancements towards more general artificial intelligence, in an effort to solve more and more complex problems.

Speaker:

Dr. Eugenio Culurciello is a professor and associate head in the Weldon School of Biomedical Engineering at Purdue University. He is also serving as the interim director of the Purdue Institute of Physical Artificial Intelligence (IPAI), a key interdisciplinary research institute that contributes the Purdue Computes initiative announced in April 2023. His research interests are in analog and mixed-mode integrated circuits for biomedical instrumentation, synthetic vision, bio-inspired sensory systems and networks, biological sensors, and silicon-on-insulator design. Dr. Culurciello is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and Young Investigator Program from ONR, the Distinguished Lecturer of the IEEE (CASS), and is the author of the book "Silicon-on-Sapphire Circuits and Systems, Sensor and Biosensor Interfaces." He received the Ph.D. degree in electrical engineering from the Johns Hopkins University in 2004.

Recording:

https://www.youtube.com/watch?v=Qe7T--zX5s4&ab_channel=ICONPurdue

Organizers: Ziran Wang (ziran@purdue.edu), Nak-seung Patrick Hyun (nhyun@purdue.edu), & Tho Le (thovle@purdue.edu)