Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

For the U.S. Army Reserve’s 88th Readiness Division, the best way to effectively manage hazardous materials inventories and provide immediate access to safety data sheets came down to a simple choice: ...

Insurance statistics show a sharp rise in thefts of catalytic converters, devices fitted to vehicles to change pollutants in exhaust gases to less toxic gases, as supply-chain issues have boosted the ...

Waste analytics company Greyparrot has launched Deepnest, an artificial intelligence- (AI-) powered waste intelligence platform designed to give brands direct access to their recyclable material data.

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

The National Institute for Materials Science (NIMS) has been developing the DICE materials data platform* 1 to fulfill its role as a data core center in the MEXT-led project to develop materials DX ...

New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch. New technology often ...

Material Exchange’s AI sourcing assistant, Frank the bear, will soon integrate with Worldly’s industry-leading sustainability data and insights, giving brands an instant, trusted understanding of the ...