Rochester Institute of Technology

Researchers develop new method for predicting chaos

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Light may outshine quantum for some of computing's toughest optimization problems

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...
Devdiscourse

Hybrid AI can reduce failures and energy use in manufacturing robots

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
Devdiscourse

Why microgrids are turning to AI to manage renewable power

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Research on anti-UAV detection algorithm based on convolutional neural network

Abstract: In this paper, a novel Convolutional Accelerated Gradient (CAG) algorithm is proposed, which combines convolutional neural network (CNN) with Nesterov Accelerated Gradient (NAG) optimization ...
IEEE

Genetic Algorithm-Based Search Space Exploration to Generate Best Convolutional Neural Network

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...