MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

A new model deployed at Hong Kong Observatory and National Meteorological Centre uses machine learning algorithms to boost ...

Abstract: The techniques of machine learning, as well as deep learning (DL) methods, have seen a wide application in the intelligent fault diagnosis field these years. However, contemporary methods ...

Abstract: Bearing is one of the core components of any rotating machine, and its failure is widespread. This reason drives continuous monitoring and detecting bearing faults during machine operation ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

This article is brought to you by Capital One. After five years leading natural language understanding and eventually the ...

Gimlet Labs, the Applied AI research and product company, today announced that it has joined MLCommons®. This AI industry engineering consortium delivers open, useful measures of quality, performance ...

The article features Adesh Keremane discussing his journey in wireless engineering and his work on Wi-Fi systems and AFC for ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

Berkeley researchers built an electronic nose that detects spoiled food and hidden nut allergens with 92.6 percent accuracy.