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06/15/2023
Datasheets for Machine Learning Sensors
Machine learning (ML) sensors offer a new paradigm for sensing that enab...
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01/27/2023
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
The sustained growth of carbon emissions and global waste elicits signif...
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06/07/2022
Machine Learning Sensors
Machine learning sensors represent a paradigm shift for the future of em...
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01/05/2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
We present CFU Playground, a full-stack open-source framework that enabl...
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11/08/2021
ML-EXray: Visibility into ML Deployment on the Edge
Benefiting from expanding cloud infrastructure, deep neural networks (DN...
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06/07/2021
Widening Access to Applied Machine Learning with TinyML
Broadening access to both computational and educational resources is cri...
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04/03/2021
Few-Shot Keyword Spotting in Any Language
We introduce a few-shot transfer learning method for keyword spotting in...
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02/23/2021
Data Engineering for Everyone
Data engineering is one of the fastest-growing fields within machine lea...
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10/17/2020
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
Deep learning inference on embedded devices is a burgeoning field with m...
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06/12/2019
Visual Wake Words Dataset
The emergence of Internet of Things (IoT) applications requires intellig...
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04/09/2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Describes an audio dataset of spoken words designed to help train and ev...
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03/14/2016