Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

A new study shows that combining machine learning with advanced material engineering can significantly improve the ...

The clever Bean Adapt system built into this $2,500 machine allows it to automatically craft perfect coffee drinks with ...

Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.

Artificial intelligence is becoming increasingly important in nearly every aspect of society, but is completely dominated by ...

Agencies are burdened with growing numbers of requests and more records to manage and parse through. Emerging technology ...

An AI system completes the full research cycle and passes peer review, but experts warn that limited oversight and unclear ...