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

Multi-task learning (MTL) represents a paradigm shift in the way machine learning models are developed, whereby multiple related tasks are learned simultaneously. By leveraging shared representations ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.