May 1, 2024, 6 p.m. | Gary Hilson

EE Times www.eetimes.com

Sending data back to the cloud is no longer practical for many edge AI/ML workloads.


The post Smarter MCUs Keep AI at the Edge appeared first on EE Times.

ai at the edge artificial intelligence (ai) cloud data edge edge ai machine learning mcu mcus practical the edge workloads

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US