Can an AI Practitioner Fix a Radio?

Talking Machines

Episode | Podcast

Date: Thu, 22 Mar 2018 17:56:39 GMT

<p>In episode four of season four we talk more about natural an artificial intelligences and thinking about diversity in systems. Reading <a href="https://bml.bioe.uic.edu/BML/Stuff/Stuff_files/biologist%20fix%20radio.pdf" target="_blank">Can a Biologist Fix a Radio</a> is a great paper around these ideas. We take a listener question about moving into machine learning after having advanced training in a different program. Our guest on this episode is our second second time guest Peter Donnelly, Professor of Statistical Science at the <a href="https://en.m.wikipedia.org/wiki/University_of_Oxford" target="_blank">University of Oxford</a>, Director of the <a href="http://www.well.ox.ac.uk/peter-donnelly" target="_blank">Wellcome Trust Center for Human Genetics</a> and a <a href="https://royalsociety.org/people/peter-donnelly-11348/" target="_blank">Fellow of the Royal Society</a>.&nbsp;</p><p>See <a href="https://omnystudio.com/listener">omnystudio.com/listener</a> for privacy information.</p><br /><hr /><p style="color: grey; font-size: 0.75em;"> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer" style="color: grey;" target="_blank">acast.com/privacy</a> for more information.</p>