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

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Large Language Models Accelerate Construction of Materials Property Databases TSUKUBA, JAPAN - January 8, 2026 (NEWMEDIAWIRE) ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

According to LinkedIn’s latest report, Jobs on the Rise, more than half of professionals (56%) say they plan to look for a ...

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 ...

Regulatory milestones, including EU Digital Product Passport, sustainability pressures, and need to ensure transparency will ...

Two related discoveries detailing nanocrystalline mineral formation and dynamics have broad implications for managing nuclear ...