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Intelligence at the Extreme Edge: A Survey on Reformable TinyML
ACM Computing Surveys, 2023 Tiny Machine Learning (TinyML) is an upsurging research field that proposes to democratize the use of Machine Learning and Deep Learning on highly energy-efficient frugal Microcontroller Units.
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Tiny Machine Learning (TinyML) Based Self Diagnostic Kit for Respiratory Diseases
2023 International Conference on Computer and Applications (ICCA), 2023Jimmy Nsenga
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WIP: tinyML Systems 101 New Course Curriculum in tiny Machine Learning
2025 IEEE Frontiers in Education Conference (FIE)Sercan Aygun
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Jana Nexus: Journal of Computer Science
The rapid growth of the Internet of Things (IoT) has created an increasing demand for intelligent data processing directly on resource-constrained devices. Traditional cloud-based artificial intelligence solutions often introduce latency, bandwidth consumption, and privacy concerns, limiting their effectiveness in real-time applications.
Noah E. Sullivan +2 more
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The rapid growth of the Internet of Things (IoT) has created an increasing demand for intelligent data processing directly on resource-constrained devices. Traditional cloud-based artificial intelligence solutions often introduce latency, bandwidth consumption, and privacy concerns, limiting their effectiveness in real-time applications.
Noah E. Sullivan +2 more
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Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, 2022
Bharath Sudharsan +3 more
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Bharath Sudharsan +3 more
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Tiny Machine Learning: Progress and Futures [Feature]
IEEE Circuits and Systems Magazine, 2023Song Han, Wei-Chen Wang
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