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Nature Podcast

AI can't learn new things forever — an algorithm can fix that

Aug 21, 2024
19:50
Snipd AI
Discover how a breakthrough algorithm could revitalize AI learning by reactivating dormant neurons, making systems more adaptable. Explore the fascinating approach of training crocodiles to avoid poisonous toads and uncover surprising lineage from an ancient sacrificed child. Plus, find out how video games boosted mental health during lockdown, and delve into the origins of the Chicxulub asteroid, the harbinger of dinosaur extinction. Exciting insights await in the world of science!
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Quick takeaways

  • An innovative algorithm can reactivate dormant neurons in deep learning AIs, enabling them to adapt and learn continuously without complete retraining.
  • Research indicates that video games significantly improved mental health during the pandemic, enhancing life satisfaction and reducing distress for many users.

Deep dives

Challenges of AI Learning

Deep learning AIs struggle to adapt when faced with new data, leading to a phenomenon referred to as 'loss of plasticity.' As these systems are trained, their neural connections become rigid, causing them to forget previously learned information when presented with new tasks. Researchers found that if a model learns to differentiate between certain classes of animals, it may entirely lose the ability to learn about new classes when tasked with them repeatedly. This poses a significant challenge for AI deployment in dynamic real-world environments where continuous learning is crucial.

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