Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...

Through two rounds of the 2026 NFL postseason, turnovers have been a major story as usual, whether for timeliness, volume, or both. The Los Angeles Rams and Denver Broncos are both a win away from the ...

Silicon Valley entrepreneurs prefer to talk of possibilities rather than obstacles, and of vast revenue opportunities to be seized through sheer force of will. That defiant optimism now faces the ...

KALKASKA, MI – Kalkaska County residents are being asked whether they want to see a data center developed on state land west of town. They will have multiple chances to ask questions and share ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

Over the past 5 years, large language models (LLMs) have emerged and continued to improve in their generative abilities and are now capable of generating human-understandable text and performing ...

Lugano/Berlin, 20 October 2025 – The European Society for Medical Oncology (ESMO) released today the ESMO Guidance on the Use of Large Language Models in Clinical Practice (ELCAP), the first ...

An updated edition of the August 21, 2025 article. We receive a voluminous amount of data or information from various sources, including online shopping, sensors, social media, videos and more. These ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...