The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

"We believe that our framework combines best practices in the field and provides a conceptual blueprint on how to work with and analyze experimental catalyst data, which should prove useful to future ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...