This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

One of the three primary annual conferences in ML and AI research, NeurIPS 2025 is taking place Dec. 2-7 at the San Diego Convention Center.

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

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 ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. A portable engraving/monogramming ...