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

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Kandungan disediakan oleh podcast@nature.com and Springer Nature Limited. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh podcast@nature.com and Springer Nature Limited atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

00:46 Old AIs can’t learn new tricks

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


08:55 Research Highlights

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


11:20 Briefing Chat

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.

  continue reading

756 episod

Artwork
iconKongsi
 
Manage episode 435403886 series 2509444
Kandungan disediakan oleh podcast@nature.com and Springer Nature Limited. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh podcast@nature.com and Springer Nature Limited atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

00:46 Old AIs can’t learn new tricks

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


08:55 Research Highlights

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


11:20 Briefing Chat

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.

  continue reading

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