Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...