Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge

Author:

Giordano Marco1,Piccinelli Luigi1,Magno Michele1

Affiliation:

1. Center for Project Based Learning - ETH,Zürich

Publisher

IEEE

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Survey on Neural Network Hardware Accelerators;IEEE Transactions on Artificial Intelligence;2024-08

2. CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

3. Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

4. A TinyDL Model for Gesture-Based Air Handwriting Arabic Numbers and Simple Arabic Letters Recognition;IEEE Access;2024

5. Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems;IEEE Access;2024

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