Nature Podcast

10 October 2019: Estimating earthquake risk, and difficulties for deep-learning

10.09.2019 - By Springer Nature LimitedPlay

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This week, a method for predicting follow-up earthquakes, and the issues with deep learning systems in AI.

In this episode:

00:47 Which is the big quake? A new technique could allow seismologists to better predict if a larger earthquake will follow an initial tremor.  Research Article: Real-time discrimination of earthquake foreshocks and aftershocks; News and Views: Predicting if the worst earthquake has passed

07:46 Research Highlights Vampire bats transmitting rabies in Costa Rica, and why are some octopuses warty?  Research Article: Streicker et al.; Research Article: Voight et al.

10:03 Problems for pattern-recognition Deep-learning allows AIs to better understand the world, but the technique is not without its issues.  News Feature: Why deep-learning AIs are so easy to fool

16:31 News Chat We roundup the 2019 Nobel Prizes for science.  News: Biologists who decoded how cells sense oxygen win medicine Nobel; News: Physics Nobel goes to exoplanet and cosmology pioneers; News: Chemistry Nobel honours world-changing batteries Hosted on Acast. See acast.com/privacy for more information.

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