Presentation
Invited: Chip Technology and Computing for Edge-AI Devices: the Need of New Mind Set to Sustain the Future
DescriptionThis tutorial overview discusses today’s chip technology and computer hardware/architectures for Neuromorphic Processing, and highlights their limitations, making them unsuitable to enable many emerging/evolving energy-constrained applications such as edge-AI. The talk will cover both the device as well as the architecture aspects. Thereafter, the talk will cover an overview of the different alternative architectures being explored in the research community to address these limitations, both those using CMOS as well as those using post-CMOS devices. Finally, the talk shows future directions for energy efficient neuromorphic computing and links to the upcoming four presentations in the session.
Event Type
Special Session (Research)
TimeWednesday, June 263:30pm - 4:00pm PDT
Location3006, 3rd Floor
Design