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.

Researchers are developing computational approaches to extract information from multiple sets of single-cell sequencing data.

A deep learning program can identify cells with higher metastatic potential based on the way they look and move.

Researchers have created a 3D-printed artificial neural network that uses light photons to rapidly process information.

Computational biologists are optimistic that the purchase of the world’s largest hub for open-source computer code will not affect the way they use GitHub for science.

The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.