Forbes

Brainchip Extends AI, Machine Learning In Space And Time With Bio-Inspired Neural Networks

With artificial intelligence and machine learning (AI/ML) processors and coprocessors roaring across the embedded edge product landscape, the quest continues for high-performance technology that can ...
Hackaday

Physical Neural Network Can Be Trained Like A Digital One

Here’s an unusual concept: a computer-guided mechanical neural network (video, embedded below.) Why would one want a mechanical neural network? It’s essentially a tool to explore what it would take to ...
EurekAlert!

Universal adaptive optics for microscopy through embedded neural network control

(a) MLAO was embedded in the microscope control to improve imaging quality by modulate the illumination light. Right-hand side showed an example of one operation cycle using MLAO. After using MLAO ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

AMD launches Zen 5-based Ryzen AI Embedded chips at CES

Ryzen AI Embedded processors that offer higher-performance, lower-latency artificial intelligence to automotive, industrial ...
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 ...
La Grande Observer

MicroCloud Hologram Inc. Researches CV-QNN (Continuous Variable Quantum Neural Networks) Technology and Builds Variational Quantum Circuits Embedded in CV Architecture

SHENZHEN, China, March 17, 2025 /PRNewswire/ — MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, they are researching CV-QNN (Continuous Variable ...
Electronic Design

Creating a Smarter World with Embedded AI

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...