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

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

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

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

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, ...

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.