Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

Modern portable and wearable electronic devices increasingly integrate high-performance components and wireless communication technologies. While this integration enhances functionality, it also ...

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...

Curi Bio and Battelle Announce Strategic Partnership to Accelerate the Adoption of NAMs in Neuromuscular Pharmacology Advancing the 3Rs: At the core of this partnership is a commitment to the 3Rs ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Predictive policing is likely too entrenched at this point to be abolished. Law enforcement needs to be transparent about how it’s being used. | Opinion ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

Deep-Learning Paradigm Achieves Global Precision in Nuclear Charge Density PredictionsThe charge density distribution of an atomic nucleus is a ...

The rapid digitization of healthcare is transforming patient care, but it is also creating new vulnerabilities as cyber threats grow more sophisticated and widespread. From ransomware attacks to data ...