A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...