iMAGiNE Consortium Symposium 2024

8:30AM - 3:30PM
Engineering Education and Research Center (EER)
2501 Speedway, Austin, TX 78712
Mulva Auditorium

Please join us for an opportunity to hear how our industry members and faculty experts are developing cutting-edge technology from devices and circuits, to hardware accelerators and the software systems running on them, while advancing the design of intelligent systems for rich data collection, machine learning, and smart sensing/actuation.

Prospective industry members and all University of Texas at Austin faculty, students, alumni and researchers are welcome to attend!

RSVP

Keynote Address

Advanced Technologies for Artificial Intelligence

AI is quickly changing the way we live. It will not only impact how the world uses technology but will affect us in ways that no other technology has previously. Although the AI era is still in its infancy, AI is already having a transformative impact across many industries by enabling automation of tasks, improved decision-making, scientific discoveries, and development of new products and services. In this talk, I will discuss some of the key technologies enabling rapid advancements in AI. I will also describe some major breakthroughs from AI applications and future directions for AI research.

Michael Schulte

Michael Schulte is a Senior Fellow at AMD, where he leads research, advanced development, and technology transfer activities in artificial intelligence, domain-specific acceleration, and high-performance, power-efficient computing. Michael is an IEEE Fellow for contributions to compute architectures. Prior to joining AMD, he was a tenured faculty member at the University of Wisconsin-Madison and Lehigh University. Michael holds Ph.D. and M.S. degrees in Electrical Engineering from the University of Texas at Austin, and B.S. degrees in Electrical Engineering and Computer Science from the University of Wisconsin-Madison.

The iMAGiNE consortium provides tools, methodologies, and knowledge for engineering the machines that support intelligent applications, from the smallest circuits to the largest systems. Machine learning, reasoning, and understanding from cloud to edge.

iMAGiNE brings together faculty experts and researchers working on cutting-edge technology from devices and circuits, to hardware accelerators and the software systems running on them, while advancing the development of intelligent systems for rich data collection, machine learning, and smart sensing/actuation.

Whether it is intelligence in the cloud or on the edge, intelligent machines and applications running on them need to be:

Pervasive

Almost every aspect of how we live or interact with others relies on or uses data-rich applications that must intelligently use and process this data wherever and whenever it becomes available.

Real-time

Established intelligent applications like image or speech/text recognition, or anticipated ones like fully-autonomous driving or human mobility tracking or prediction, need to react in real-time to availability of new data for learning and efficiently performing prediction in the field.

Energy efficient

Intelligent applications can truly become ubiquitous and effectively operate wherever and whenever devices and data become available only if they rely on minimal resource usage and energy cost.