Page 2 - Tensorflow Lite News Today

Teflon has been merged into Mesa 24.1 as a Gallium3D front-end that TensorFlow can load for delegating the execution of operations in a neural network model

Work is underway to develop a Smart Stent that combines custom made piezoelectric sensors and RFID technology with AI to overcome problems associated with restenosis.

Nuvoton Technology Corporation, a key player in the tech industry, has recently unveiled an advanced platform that is set to enhance the capabilities of

Introduction Last time, we programmed a SunFounder PiCar-X to behave similar to a Roomba, to basically move around a room following an algorithm to go all over the place. This was a first step and had a few limitations. The main one is that it could easily get stuck, since if there is nothing in…

A new multifunctional Edge AI camera offering nightvision, motion detection, TensorFlow Lite support, no-code set up and open source design

As a machine learning technique, TinyML combines reduced and optimized machine learning applications that require hardware, system, and software components. These operate at the edge of the cloud in real time while converting data with minimal energy and cost.

Microcontrollers (MCUs) today can run deep learning computer vision algorithms at the edge—something that felt far out of reach just a few years ago. In this article, I discuss how to get started with your own artificial intelligence (AI) app prototype, using Seeed Studio's SenseCAP K1100 Kit.

Tomeu Vizoso has been leading the effort for supporting Vivante's NPU IP within the Etnaviv driver that began as a reverse-engineered driver for Vivante graphics

This PyTorch vs TensorFlow provides more insight into the machine learning frameworks created by Google and

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. ...