Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

The new cyber range and physical classroom space is modeled off of real cybersecurity teams at Nebraska companies. With a custom chatbot as part of the curriculum, MATRIX looks to make students, ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Seeq, the global leader in industrial analytics, AI, and enterprise monitoring for industrial companies, today announced that it has been named a Front Runner within the inaugural Industrial AI: ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...