Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

MayimFlow, the Built World stage winner at this year’s TechCrunch Disrupt, is a good example. The startup is focused on ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

Bittensor is one of the most renowned AI-facilitated decentralized networks that promotes blockchain and artificial ...

A prediction that looks plausible but diverges from reality can create high-risk, even catastrophic situations in driving ...

Predicting the precise impact of AI on employment is fraught with uncertainty – and most of the time just plain wrong.

How Do You Secure Non-Human Identities in a World of Evolving Cyber Threats? Non-Human Identities (NHIs) have become a focal point for security teams across various industries. These machine ...

Open radio access network (RAN) technology remains a work in process due to complexity and integration challenges, but an increasing number of operators and vendors are getting behind AI as a way to ...

A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...

“Heading into 2026, several unresolved and emerging issues will shape the IP landscape. At the Supreme Court level, ...