Tiny Machine Learning and On-Device Inference: A Survey of Applications, Challenges, and Future Directions

The growth in artificial intelligence and its applications has led to increased data processing and inference requirements. Traditional cloud-based inference solutions are often used but may prove inadequate for applications requiring near-instantaneous response times. This review examines Tiny Mach...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Soroush Heydari, Qusay H. Mahmoud
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-05-01
主題:	TinyML IoT sensors edge AI edge computing embedded ML
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/10/3191