Resource-efficient ML for Edge and Endpoint IoT Devices

다운로드

5월 2019

SeeDot is an automatic quantization tool that generates efficient machine learning (ML) inference code for IoT devices. ML models are usually expressed in floating-point, and IoT devices typically lack hardware support for floating-point arithmetic. Hence, running such ML models on…

Github for SeeDot

12월 2018

Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One example of a ubiquitous real-world application where such models are desirable is resource-scarce devices and sensors in the Internet…

Github for Edge Machine Learning (Edge ML)