A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions-but there is always room for improvement.

Statistical computing is undergoing a transformative phase, driven by innovations in architecture, scalability, and ...

Training with data from the Bern Model A machine learning model is a statistical tool that is ... planetary systems from the Bern Model. "The results are impressive: the algorithm achieves ...

Anomaly detection involves methods that assist in identifying data points or occurrences that differ from the anticipated behavior patterns.

The US Court of Appeals for the Federal Circuit affirmed a district court’s ruling that patents applying established machine learning methods to new data are not patent eligible under 35 U.S.C. §101.

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

Researchers with City of Hope and MSK have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient’s likely response to chimeric antigen receptor (CAR) T cell therapy ...