Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

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

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Microbial ecology is rapidly evolving with the integration of artificial intelligence (AI) and machine learning into the study of complex microbial ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...