首先，我想和大家探讨一下，你是否曾遇到过这样的困扰： 辛辛苦苦训练好的模型，部署到设备上后却慢得像蜗牛？明明在上跑得飞快，到了上就卡得不行？ 相信大家一定都有这样的烦恼？到底为什么，明明我觉得可以的，但是模型在MCU上的表现却总是差强人意。

Abstract: The present paper investigates the application of TensorFlow Lite to deploy the Convolutional Neural Network on Rasberry Pi for real-time image classification, considering specifically the ...

TensorFlow Lite for Microcontrollers enables running machine learning models on small, resource-constrained devices. Let’s take a closer look, and use it together with Edge Impulse for speech ...

Google is rebranding TensorFlow Lite to LiteRT (as in “lite runtime”). This lets you deploy ML and AI models on Android, iOS, and embedded devices. Basically, for on-device AI at the Edge. Google ...

The staring point for doing speech recognition on an Arduino based board is TensorFlow Light For Microcontrollers with the example sketch called micro_speech! I have adapted the MicroSpeech example ...

Abstract: In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate ...

That’s what the marketing seems to read like for artificial intelligence companies. Everyone seems to have cloud-scale AI-powered business intelligence analytics at the edge. While sounding impressive ...

The team responsible for officially pushing forward the Arduino ecosystem has this week introduced a new industrial grade development board in the form of the Arduino Portenta H7 Lite. Powered by a ...

Arduino Portenta H7 Lite is a cost-down version of Portenta H7 STM32H7 that shaves off a little over $30 of the Arduino Pro board by doing without a wireless module nor USB-C video output and opting ...