Explore cutting-edge advancements in post-CMOS hardware and device materials for AI applications in this symposium session from USC Information Sciences Institute. Delve into four expert presentations covering innovative technologies for edge computing and neuromorphic systems. Learn about phase change materials for energy-efficient neuromorphic computing, single-crystal indium phosphide FET-based artificial synapses, memristors with thousands of conductance levels for edge AI, and hybrid analog-digital computing enabled by memristors for mobile robots. Gain insights into the future of AI hardware and its potential impact on mobile and edge computing applications.
AI on the Edge: Post-CMOS Hardware and Device Materials - Session IV
USC Information Sciences Institute via YouTube
Overview
Syllabus
USC AI Futures Symposium: AI on the Edge | Session IV
Taught by
USC Information Sciences Institute
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