Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

Purdue’s PDID benchmark tests deepfake tools on real social media content, showing why false-acceptance rates matter for enterprise security.

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...