A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration, enabling real-time monitoring of drought response.

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been ...

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 ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

By analysing MRI scans and a simple blood test from hundreds of patients, researchers identified patterns that reveal how ...