Foundations of Early Human Learning

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=0bWeDowpgy4


Duration: 1:05:11
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Celeste Kidd, UC Berkeley
https://simons.berkeley.edu/talks/tbd-178
Decoding Communication in Nonhuman Species

With advances in machine learning, we now stand a chance to decode communication in non-human animal and plant life, which has fascinated humans for millennia. Cutting-edge technology can be used to benefit not only humankind, but other species on our planet, to better understand and protect the life around us. To make this possible, one needs to bring together and build on the latest discoveries of experts in disparate fields, including machine learning, signal processing, data science, linguistics, and acoustics. The goal of the workshop is to explore the challenges and current state-of-the-art in the study of non-human species communication as well as disciplines and technologies that are likely to provide solutions to these challenges.

https://simons.berkeley.edu/workshops/decoding-communication-non-human-species



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Tags:
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley
Decoding Communication in Nonhuman Species
Celeste Kidd