An algorithm that reactivates dormant ‘neurons’ in deep learning based AIs could help them overcome their inability to learn new things and make future systems more flexible, research has shown. AIs based on deep learning struggle to learn how to tackle new tasks indefinitely, making them less adaptable to new situations. The reasons for this are unclear, but now a team has identified that ‘resetting’ parts of the neural networks underlying these systems can allow deep learning methods to keep learning continually.

Research Article: Dohare et al.

News and Views: Switching between tasks can cause AI to lose the ability to learn

To stop crocodiles eating poisonous toads researchers have been making them sick, and a sacrificed child in ancient Mexico was the progeny of closely related parents.

Research Highlight: How to train your crocodile

Research Highlight: DNA of child sacrificed in ancient city reveals surprising parentage

How video games gave people a mental health boost during the pandemic, and where the dinosaur-destroying Chicxulub asteroid formed.

Nature News: PlayStation is good for you: video games improved mental health during COVID

Nature News: Dinosaur-killing Chicxulub asteroid formed in Solar System’s outer reaches

Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday.

Hosted on Acast. See acast.com/privacy for more information.