English

An AI-Native Runtime for Multi-Wearable Environments

Distributed, Parallel, and Cluster Computing 2024-03-27 v1

Abstract

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 advanced MLOps designed to facilitate the development and deployment of these applications on wearable devices. It emphasizes the necessity of dynamic orchestration of distributed resources equipped with ultra-low-power AI accelerators to overcome challenges associated with unpredictable runtime environments. Through its innovative approaches, Mojito demonstrates how future wearable technologies can evolve to be more autonomous.

Cite

@article{arxiv.2403.17863,
  title  = {An AI-Native Runtime for Multi-Wearable Environments},
  author = {Chulhong Min and Utku Günay Acer and SiYoung Jang and Sangwon Choi and Diana A. Vasile and Taesik Gong and Juheon Yi and Fahim Kawsar},
  journal= {arXiv preprint arXiv:2403.17863},
  year   = {2024}
}

Comments

7 pages, 4 figures

R2 v1 2026-06-28T15:34:25.490Z