Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

The NFL is no stranger to innovation. Over the years, teams have adopted new strategies, technologies, and data-driven ...

Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...

Innodata announced that it has been chosen by Palantir to provide high-quality training data and data engineering services.

Counterpoint Quantitative Equity ETF (CPAI) review: it beat markets, has elevated risks. Read here for a detailed investment analysis.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...

Abstract: Federated machine unlearning service is an emerging Machine-Learning-as-a-Service (MLaaS) paradigm which supports the request of removing or forgetting the influence of a specific group of ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Machine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of ...