What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...

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 ...

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

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

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

Abstract: Artificial neural networks have the potential to model the interaction of radar signals with vegetation but often do not follow the physical rules. This article aims to develop a new physics ...

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

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

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

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

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

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...