2 citations · 3 across the 4 of their papers we have counts for
4 papers
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
SiYoung Jang, Roberto Morabito
The widespread adoption of Language Models (LMs) across industries is driving interest in deploying these services across the computing continuum, from the cloud to the network edg…
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
Roberto Morabito, SiYoung Jang
The rapid adoption of generative AI (GenAI), particularly Large Language Models (LLMs), has exposed critical limitations of cloud-centric deployments, including latency, cost, and…
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…