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

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

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 ...

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

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

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

Kilter AS has launched the AX-1 system, which uses machine learning and autonomous robotics to provide targeted weed control ...

Abstract: With widespread adoption globally, micromobility like bikes, e-scooters, and e-bikes has attracted increasing attention due to its ability to complement existing transportation modes and ...

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

Many individuals with neurological conditions often experience continued impairments and functional deficits despite completion of intensive ...