A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Learning speed and capital access are now decisive for homebuilders as operational and demand risks intensify in 2026.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...