Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Digital twins have moved far past the stage of theory. They’re already influencing how cities take shape, how factories ...

As artificial intelligence moves from theoretical research into everyday tools, the challenge for designers is no longe ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Amidst surging computing demand and fluctuating conditions in European energy markets, energy efficiency has become an increasingly important factor in the economics of data center operations. Dr.

QNB maintains a secure and resilient operating environment, supported by robust systems designed to safeguard against cyber ...

When given a target functionality, usually a particular pattern of heat conductivity, this algorithm can slowly hone in on the best possible design. The researchers refer to this as "inverse design," ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.