TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/16/RC/3918 (Confirm) and also by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2 (Insight), with both grants co-funded by the European Regional Development Fund.

[1]  Peter Corcoran,et al.  Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability , 2022, AICS.

[2]  John G. Breslin,et al.  Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices , 2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

[3]  J. Breslin,et al.  Demo Abstract: Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT , 2021 .

[4]  John G. Breslin,et al.  OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices , 2021, 2021 IEEE 7th World Forum on Internet of Things (WF-IoT).

[5]  Matthew Mattina,et al.  MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers , 2020, MLSys.

[6]  Muhammad Intizar Ali,et al.  Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices , 2020, 2020 IEEE 6th World Forum on Internet of Things (WF-IoT).

[7]  John G. Breslin,et al.  Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption , 2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

[8]  Muhammad Intizar Ali,et al.  RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices , 2020, IOT.

[9]  John G. Breslin,et al.  SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract , 2021, ICCPS.

[10]  Muhammad Intizar Ali,et al.  Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches , 2020, IOT Companion.

[11]  Bharath Sudharsan,et al.  A Microphone Array and Voice Algorithm based Smart Hearing Aid , 2019, ArXiv.

[12]  V. Reddi,et al.  TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems , 2020, MLSys.

[13]  B. Sudharsan Machine Learning Meets Internet of Things: From Theory to Practice , 2021 .

[14]  Bharath Sudharsan,et al.  AI Vision: Smart speaker design and implementation with object detection custom skill and advanced voice interaction capability , 2019, 2019 11th International Conference on Advanced Computing (ICoAC).

[15]  Muhammad Intizar Ali,et al.  Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices , 2020, IOT.