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, ...

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

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

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 ...

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

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