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 ...

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

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

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

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

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 ...

Overview: As banks accelerate digital transformation, ‘Know Your Customer’ processes are rapidly evolving. Traditional, ...

Recruitment is changing faster than ever. AI is entering daily workflows, companies are thinking beyond traditional job ...