Her work explores how new AI technology is infiltrating our lives, shaping the content we consume on social media and affecting the people behind the screens. She graduated from the University of ...

This award was presented by the Indian Society of Remote Sensing (ISRS) during the Innovation Contest for Geo Spatial Information Technology-2025. Why this work was recognized: Our project was honored ...

The swap Monte Carlo algorithm introduces nonphysical dynamic rules to accelerate the exploration of the configuration space of supercooled liquids. Its success raises deep questions regarding the ...

Applied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

Scatter plots of observed irrigation indices and estimated irrigation indices by different machine learning models for the validation period. Abbreviations: KNN, k-nearest neighbors; GPR, Gaussian ...

More widespread use of predictive-policing software may eventually lead criminals to change their habits and become less consistent in their behavior. But for now, building capacity to predict ...

Understanding water use characteristics of C3 and C4 crops is important for food security under climate change. Here, we aimed to clarify how stomatal dynamics and water use efficiency (WUE) differ in ...

Alcohol consumption places a significant burden on emergency services, including ambulance services, which often represent patients' first, and sometimes only, contact with health services. We aimed ...

Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically ...