Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.

To our knowledge, to date, however, there are no widely utilized machine learning (ML) models that predict development of CLL. Therefore, the objective of this study was to leverage readily available ...

By requiring the use of novel machine learning technologies to uphold the validity of Recentive’s patent claims under Section 101, the Federal Circuit collapsed subject matter eligibility with ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Equipped with adaptive dampers, the refreshed Tesla Model Y Performance could cycle between raw performance and daily driving, while the EPA-estimated range is about 280 miles.

Evo 2 machine learning model enlists the power of AI in the fight against diseases by Ty Burke, University of California - Berkeley edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...

MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Researchers from East China Normal University have developed a novel PV power prediction model for scenarios with considerable fluctuations. Dubbed CRAK, the new hybrid deep learning model ...