Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide ...

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...

Esri, the global leader in geographic information system (GIS) software, has released Spatial Data Science, a new book thatdemonstrates how spatial scientists and practitioners can add big data into ...

The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.

MIT and MIT-IBM Watson AI Lab researchers have developed EnergAIzer, a tool that predicts the energy use of AI workloads on GPUs in seconds, aiming to improve data center efficiency. The method could ...