They drew with crayons, possibly fed on maggots and maybe even kissed us: Forty millenniums later, our ancient human cousins ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

The phenomenon of ‘too much finance’ – the consistent research finding that an outsized financial sector undermines the ...

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.

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...