Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

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

USC Information Sciences Institute via YouTube

Overview

Explore cutting-edge research on TinyML and machine learning for edge devices in this symposium session from USC Information Sciences Institute. Delve into four compelling research presentations covering neural inertial navigation in ultra-resource-constrained devices, embedding deep learning models in tiny IoT devices, distributed transformer models in edge environments, and collaborative training of large models at the edge. Gain insights from experts Luis Garcia, Peter Beerel, John Paul Walters, and Salman Avestimehr as they discuss innovative approaches to implementing AI in resource-limited edge computing scenarios.

Syllabus

USC AI Futures Symposium: AI on the Edge | Welcome & Session I

Taught by

USC Information Sciences Institute

Reviews

Start your review of AI on the Edge - TinyML and Machine Learning for Edge Devices - Session 1

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.