We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...

In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...

NEW YORK, March 14, 2026 /PRNewswire/ -- Consumer365 has recognized Coursera as a go-to platform for artificial intelligence training in its Best AI Course Online (2026) coverage, highlighting the ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

APL is developing a comprehensive suite of capabilities to ensure that additively manufactured parts can perform predictably ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

This list is continuously updated. Pull requests welcome — please follow CONTRIBUTING.md. A curated list of 500+ AI/ML/DL/CV/NLP projects and resources (tutorials, repos, datasets, papers-with-code).

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...