research
∙
06/15/2023
Datasheets for Machine Learning Sensors
Machine learning (ML) sensors offer a new paradigm for sensing that enab...
share
research
∙
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...
research
∙
06/07/2022
Machine Learning Sensors
Machine learning sensors represent a paradigm shift for the future of em...
research
∙
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...
research
∙
11/08/2021
ML-EXray: Visibility into ML Deployment on the Edge
Benefiting from expanding cloud infrastructure, deep neural networks (DN...
research
∙
06/07/2021
Widening Access to Applied Machine Learning with TinyML
Broadening access to both computational and educational resources is cri...
research
∙
04/03/2021
Few-Shot Keyword Spotting in Any Language
We introduce a few-shot transfer learning method for keyword spotting in...
research
∙
02/23/2021
Data Engineering for Everyone
Data engineering is one of the fastest-growing fields within machine lea...
research
∙
10/17/2020
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
Deep learning inference on embedded devices is a burgeoning field with m...
research
∙
06/12/2019
Visual Wake Words Dataset
The emergence of Internet of Things (IoT) applications requires intellig...
research
∙
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...
research
∙
03/14/2016
