Folding@Home, currently focused on deciphering the workings of SARS-CoV-2, is the first project to have exascale-level computational muscle.

The Johns Hopkins University professor was a co-developer of the Galaxy platform, an open-source bioinformatics tool used in labs around the world.

Federal agencies, academic institutions, and industrial partners are joining forces to combat COVID-19 using artificial intelligence.

Researchers’ simulations suggest that small population sizes and inbreeding made Neanderthal populations vulnerable to chance fluctuations in population size.

Neural networks generate abstract images designed to activate particular cells, lending insight into their function.

Neuromorphic technology is fueling fast, large-scale simulations, supporting researchers’ endeavors to build models of the human brain.

Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.

The Carnegie Mellon computational biologist thinks machine learning algorithms can direct high-throughput experiments to solve the field’s unanswered questions.

A brief history of AI, machine learning, artificial neural networks, and deep learning.