Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements ...

Thomson Reuters has announced a 5-year partnership with Imperial College London to create the new Frontier AI Research Lab at ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into ...

The startup sees the next evolution in video generation coming from models that understand space, logic, and time.

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

According to the review, global publication trends show a sharp rise in research on explainable AI beginning in 2020, driven ...