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Hardware for ML and ML for Hardware

DATE/TIME: Monday, April 1st, 11:00am
SPEAKER: Prof. Aman Arora, Arizona State University
This talk delves into the exciting intersection of hardware design and machine learning, showcasing how these fields are mutually benefiting each other. The presentation will feature cutting-edge research projects that exemplify this dynamic.

Towards Self-Sustainable Wearable IoT Devices for Reliable Mobile Health Applications

DATE/TIME: Thursday, April 25th, 10:00am
SPEAKER: Prof. Ganapati Bhat, Washington State University
Wearable internet of things (IoT) devices are the next big evolution in computing systems. Wearable sensors and IoT devices, along with smart home technologies, have the potential to transform healthcare by enabling cost-effective, reliable, continuous, and data-driven monitoring of users in a free-living environment. Despite the impressive potential of wearable technology, widespread adoption of wearable devices has been limited due to several technology and adaptation challenges.

Agile Hardware Specialization

DATE/TIME: Wednesday, May 1st, 11:00am
SPEAKER: Prof. Yun Eric Liang, Peking University
As Moore’s law is approaching to the end, designing specialized hardware accelerator along with the software that map the applications onto the specialized hardware is a promising solution. However, the hardware is very difficult to design and optimize due to the low-level programming and huge design space.