The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
Visual Studio Magazine

Use Python with Your Neural Networks

A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language. One ...
Science Daily

Towards implementing neural networks on edge IoT devices

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...
Electronic Design

Improving Convolutional Neural Networks at the Edge

The AI revolution continuously requires new tools and methods to take full advantage of its promise, especially when dealing with imaging data beyond visible wavelengths of the electromagnetic ...
Computer Weekly

Tokyo University of Science sets pace in neural networks on edge IoT

The University of Science has revealed it has developed a binarised neural network (BNN) scheme using ternary gradients to address the computational challenges of internet of things (IoT) edge devices ...