A 1mm-long nematode worm is the world’s best understood animal and with a simple brain of only 302 nerve cells, it can produce complex behavior that current artificial intelligence (AI) systems cannot. Ramin and his team is investigating the nervous system of the C. elegans worm from a machine learning perspective, as an ideal instance of the Simplexity concept, to create simple and transparent AI agents for the control of complex tasks.
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Ramin is a PhD research assistant in Computer Science at TU Wien, Austria, where he works on developing interpretable artificial intelligence (AI) algorithms for real-world applications. By bringing insights from neuroscience to machine learning he is improving the functional transparency and robustness of AI systems.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
