For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Image courtesy by QUE.com For decades, the search for room-temperature superconductors has been one of physics' most ...
AI poses new risks to trade secrets through data leaks, reverse-engineering, and challenges to protections. Solutions include ...
Searching for flood victims is a type of wilderness search and rescue that presents unique challenges. The goal for machine learning scientists is to rank which images have signs ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from aircraft fuselages to bridge supports—perform reliably under demanding conditions ...
Researchers created an affordable pneumatic exoskeleton glove that uses machine learning to decode forearm muscle signals and ...
“The relationship between child development and artificial intelligence is one of the most critical and overlooked challenges ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Boston researchers say they have created an artificial intelligence tool that sifts through electronic health records to ...