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Machine learning could be the key to reducing the use of animals in experiments.

Researchers are using artificial intelligence to pick out the features of brightfield microscopy images.

Marvin Minsky engineered the first known artificial neural network, in which “rats” represented as lights learned to solve a maze.

Machine learning algorithms predict the repairs made to DNA after Cas9 cuts.

Algorithms for motion capture help neuroscientists dig into the question of how the brain produces behavior.

A high school student designs a new beehive and gets help from machine learning to monitor for varroa mite infestation.

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

AI models can pick up subtle alterations in linguistic and vocal attributes of spoken language that may be indicative of failing health.

The Yale University cognitive neuroscientist studies how the brain extracts patterns from experiences.

With the help of computer algorithms that excel at pattern recognition, researchers look for meaning in vast pictorial datasets.

Deep learning approaches in development by big players in the tech industry can be used by biologists to extract more information from the images they create.

Computer chips based on biological neurons may help simulate larger and more-complex brain models.