Scientists who study animal behavior spend endless hours observing and taking notes about a creature’s actions and reactions. Computer vision could automate much of that work.

Eric Topol is one of the world’s leading advocates for AI in medicine. Below he shares his insights into the fusion of AI and medicine and advice for machine learning engineers who want to get involved.

Chemists typically develop new antibiotics by testing close chemical relatives of tried-and-true compounds like penicillin. That approach becomes less effective, though, as dangerous bacteria evolve resistance to those very chemical structures. Instead, researchers enlisted neural networks.

Machine learning thrives on data, but information about the novel coronavirus and the illness it produces has been either thin or hard to access. Now researchers are pooling resources to share everything we do know.

Female giant pandas are fertile for only 24 to 36 hours a year: Valentine’s Day on steroids. A new neural network alerts human keepers when a panda couple mates.

A protein’s biological function depends largely on its three-dimensional shape, but deducing its shape from its sequence of amino acids has been a longstanding problem. Researchers at DeepMind reveal how they used deep learning to solve the puzzle.

When artificial intelligence meets biology, even the simplest life forms can be mind-blowing. Researchers at Tufts and the University of Vermont programmed an evolutionary algorithm to design virtual organisms with specific capabilities.

A deep learning system is helping biologists who survey offshore fish populations to prevent overfishing. The U.S. agency in charge of protecting ocean resources is using an underwater camera and neural network to count fish in real time.

AI is capable of picking faces out of the crowd — even if that crowd is squabbling over bananas in a jungle. Researchers at the University of Oxford developed a face recognition app that identifies individual chimpanzees in footage shot in the wilds of Guinea.