I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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 ...

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

Agentic Postgres from Tiger Data offers persistent memory and BM25 search, helping you build faster and add Stripe payments ...

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

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

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.

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

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," ...

Richness in numerical terms is not matched with the digital presence of Indian languages; they still form a very small part ...