The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

Researchers at the University of Southern California have made a significant breakthrough in understanding how the human ...

All in all, not all advanced machine learning models are black box, and for most applications, a degree of explainability is sufficient to meet legal and regulatory requirements.

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...