AI on the Edge: Post-CMOS Hardware and Device Materials - Session IV

Overview

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.

Syllabus

USC AI Futures Symposium: AI on the Edge | Session IV

Taught by

USC Information Sciences Institute

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Taught by

AI on the Edge: Neuromorphic Computing - Session 2

Introduction to On-Device AI

AI on the Edge: Hardware-Software Co-Design for Graph Analytics and Neural Networks - Session 3

AI on the Edge - Advancing Edge Computing and Next-Generation Networks

AI on the Edge - TinyML and Machine Learning for Edge Devices - Session 1

Never Stop Learning.