The real risk isn't in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Humans have been making metal alloys for thousands of years, and most of us can conjure a rough mental image of the ...

Researchers used 3D printing and capillary action to create customizable neural chips, expanding design freedom for brain ...

However, the design of CTP battery packs is not without challenges. As traditional mechanical connection methods cannot be used, adhesives have become a key material for securing the cells. In common ...

Japanese scientists develop scalable quantum LDPC error correction codes approaching the theoretical hashing bound.

Students from London's Architectural Association have developed a low-cost and easily repeatable way to build with tree forks ...

This removes the guesswork inherent to fixed-cycle PCR and ensures that each library is amplified in the best way. iconPCR ...

Rising global energy demands are pushing the limits of solar technology. Scientists in Sweden have now taken a major step ...

Natural systems such as CRISPR-associated transposons (CASTs) offer a targetable, one-step way to edit genomes.

Whether collaborating with fashion houses or developing material recovery projects, 6:AM maintains a distinct visual language ...