An AI-Native Runtime for Multi-Wearable Environments
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arXiv
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| Hauptverfasser: | , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910384626073600 |
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| author | Min, Chulhong Acer, Utku Günay Jang, SiYoung Choi, Sangwon Vasile, Diana A. Gong, Taesik Yi, Juheon Kawsar, Fahim |
| author_facet | Min, Chulhong Acer, Utku Günay Jang, SiYoung Choi, Sangwon Vasile, Diana A. Gong, Taesik Yi, Juheon Kawsar, Fahim |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_17863 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An AI-Native Runtime for Multi-Wearable Environments Min, Chulhong Acer, Utku Günay Jang, SiYoung Choi, Sangwon Vasile, Diana A. Gong, Taesik Yi, Juheon Kawsar, Fahim Distributed, Parallel, and Cluster Computing 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. |
| title | An AI-Native Runtime for Multi-Wearable Environments |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2403.17863 |