48 citations · 179 across the 37 of their papers we have counts for
3 papers · 1 filter
An AI-Native Runtime for Multi-Wearable Environments
Chulhong Min, Utku Günay Acer, SiYoung Jang +5
The miniaturization of AI accelerators is paving the way for next-generation wearable applications within wearable technologies. We introduce Mojito, an AI-native runtime with adva…
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Taesik Gong, Si Young Jang, Utku Günay Acer +2
The advent of tiny artificial intelligence (AI) accelerators enables AI to run at the extreme edge, offering reduced latency, lower power cost, and improved privacy. When integrate…
SensiX: A Platform for Collaborative Machine Learning on the Edge
Chulhong Min, Akhil Mathur, Alessandro Montanari +2
The emergence of multiple sensory devices on or near a human body is uncovering new dynamics of extreme edge computing. In this, a powerful and resource-rich edge device such as a…