Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...
Morning Overview on MSN

Thermodynamic computer mimics AI image generation using a fraction of the energy

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...
Aalto University

Summer workers for Mechatronics Research Group

The goal of the summer job is to assist the mechatronics research group in their research. The specific job description will be defined based on the selected candidate's skills and interests.
GitHub

Bone-Fracture-Line-Detection-System

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...
Hosted on MSN

Jitendra Srivastava highlights AI, ML’s role in smart metering to improve power distribution

New Delhi: Dec 6, 2025, (ANI): Speaking about National Conference on the Use of AI and Machine Learning in Power Distribution Sector, Jitendra Srivastava, Chairman & Managing Director of REC Limited, ...
Machine Design

Trends and Innovations in Motion Systems for Machine Design

Beckhoff Automation’s latest motion system components and modular automation architecture are designed to simplify machine control integration, improve energy efficiency and reduce wiring complexity.
Digital Trends

Michigan Dad Built a Solar Power System Using Temu and Cut His Energy Bill by 90%

With $1,300 in Temu-sourced batteries and a lot of determination, this dad of six—soon to be seven—built a custom solar system that powers his household of eight and protects his growing family from ...
techxplore

Machine learning-based design enables more efficient wireless power transfer

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
AZoOptics

High-Power Laser Stabilization Using Machine Learning

From left to right, Berkeley Lab researchers Anthony Gonsalves, Alessio Amodio, and Dan Wang align precision optics to prepare the Berkeley Lab Laser Accelerator (BELLA) Petawatt laser for ...
IEEE

Fault Detection and Diagnosis in Power Systems Using Machine Learning

Abstract: Effective fault identification and diagnosis are critical in modern power systems to ensure operational reliability and reduce economic losses. This research describes a novel approach that ...