Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

In a newly published study, MIT researchers find evidence that deep learning will soon (or already has) run up against computational limits.

Data scientists use dimensionality reduction in machine learning models to remove irrelevant features from busy datasets.

Chemists debate machine learning’s future in synthesis planning and ask for open data A controversial paper ignites discussion around how to use data-based algorithms and report results by ...