Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Abstract: This work presents an approach to detect the inter-turn short-circuit (ITSC) faults in permanent magnet synchronous motors (PMSMs) using machine learning. PMSMs possess many attractive ...

The U.S. Virtual Machine Market is Anticipated to Touch $11.80 Billion by 2035, While Europe is Expected to Reach $9.63 Billion, Driven by Hybrid and Multi-Cloud Adoption, GDPR-Compliant Private Cloud ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Cornell Lab for Ornithology plans data linkup between app and population monitoring on eBird platform ...

Abstract: Recently, electroencephalogram-based emotion recognition has become crucial in enabling the Human-Computer Interaction (HCI) system to become more intelligent. Due to the outstanding ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

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

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

A decade ago, DeepMind achieved a major AI breakthrough, enabling systems to learn retro video games like Space Invaders ...

Utilizing SERS for protein detection offers high sensitivity and label-free analysis, advancing proteomics and biomarker ...

AI has unlocked a century of solar history from hand-drawn observations at Kodaikanal Solar Observatory. Researchers used ...