Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

The position and trajectory tracking control of rigid-link robot manipulators suffers from problems such as poor accuracy, unstable performance, and response caused by unidentified loads and outside ...

A flexible transformer system that loads existing models, prunes redundant attention heads, and regrows them using ANN controllers and skip connections — enabling efficient training, inference, and ...

Abstract: This article focuses on the design of a distributed neural network controller to address the unknown disturbance and error convergence problems in multiple ...

This repository contains the repeatability package for the codebase of the conference paper titled "Scalable and Explainable Verification of Image-based Neural Network Controllers" that is part of the ...

Abstract: Drones which can swarm and loiter in a certain area cost hundreds of dollars, but mosquitos can do the same and are essentially worthless. To control swarms of low-cost robots, researchers ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

The Secondary College of Mechanical and Electrical Engineering, Yunnan Vocational Institute of Energy Technology, Qujing, China In addressing the steering stability issues of four-wheel-drive electric ...