Results 131 to 140 of about 793 (174)
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Earthquake Detection with tinyML
Seismological Research Letters, 2023Abstract Earthquake detection is the critical first step in earthquake early warning (EEW) systems. For robust EEW systems, detection accuracy, detection latency, and sensor density are critical to providing real-time earthquake alerts.
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Work in Progress: Linear Transformers for TinyML
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)We present the WaveFormer, a neural network architecture based on a linear attention transformer to enable long sequence inference for TinyML devices. Waveformer achieves a new state-of-the-art accuracy of 98.8 % and 99.1 % on the Google Speech V2 keyword spotting (KWS) dataset for the 12 and 35 class problems with only 130 kB of weight storage ...
Scherer M. +3 more
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2023 60th ACM/IEEE Design Automation Conference (DAC), 2023
Jinwen Wang +5 more
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Jinwen Wang +5 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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TinyML Acceleration with MAX78000
The advancement of edge devices equipped with specialized hardware accelerators has brought the deployment and execution of Deep Neural Network (DNN) models nearer to users and real-world sensor systems. This paper investigates the potential of the MAX78000 microcontroller in accelerating Tiny Machine Learning applications, which require real-time ...Dabbous A. +5 more
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TinyML for EEG Decoding on Microcontrollers
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023Antonios Tragoudaras +2 more
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TinyML in Africa: Opportunities and Challenges
2021 IEEE Globecom Workshops (GC Wkshps), 2021Samson Otieno Ooko +3 more
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Intelligence at the Extreme Edge: A Survey on Reformable TinyML
ACM Computing Surveys, 2023Nadeem Ahmed +2 more
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