CogSim may run thousands of machine-learning simulations of an experimental design in the lead up. “We have made quite a bit of advancements in our machine-learning models to kind of tie together our ...

Nuclear fusion scientists have developed a machine learning model to automatically spot and keep track of blobs of plasma that form inside nuclear reactors, paving the way to a better ...

Now, they have developed a new machine learning fusion model that takes advantage of existing ultrasound features of ovarian lesions to train the model to recognize whether a lesion is benign or ...

In the paper, published in Nature Communications, PPPL researchers lay out how they used machine learning to avoid magnetic perturbations, or disruptions, which destabilize fusion plasma.

CMS has unveiled the Wasteful and Inappropriate Service Reduction model, a new Innovation Center initiative that will add prior authorization for some traditional fee-for-service Medicare services.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

ML and data fusion are also invaluable for risk assessment and risk scoring, to help identify asylum-seekers and refugees who pose potential security risks. The ability to harness and correlate ...