A new generation of artificial intelligence is starting to read the human genome with a fluency that would have sounded like ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...

Research shows that, in Attribution Theory, four factors shape a person’s motivation to engage and learn across any field or ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

Continuous Learning also helps teams preserve data assets across cycles. When new base models arrive or use cases evolve, teams can reuse a stream of versioned production-derived signals (preferences, ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

Abstract: The inflexible human-autonomy relationship within autonomous driving scenarios still has not realized synergetic intelligence, therefore unable to provide adaptive and context-sensitive ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...

Health systems are facing a perfect storm. Reimbursement pressures from policy changes and the acceleration of value-based care bundles are squeezing already strained margins. Staffing shortages among ...

To date, artificial intelligence discussions have primarily focused on who will be replaced, which roles will shrink and where automation will take over. But the real question is whether organizations ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The properties and dynamics of gold nanowires have been studied for decades as an ...