Date: Thu, 08 Mar 2018 22:07:06 GMT
<p>In season four episode three of Talking Machines we chat about Neil’s recent thinking (definitely not work) on the core differences between natural intelligence and machine intelligence, <a href="http://inverseprobability.com/2018/02/06/natural-and-artificial-intelligence" target="_blank">he recently wrote blog post on the subject</a> and <a href="https://www.youtube.com/watch?v=Bn-33vv-cmY" target="_blank">in the fall of 2017 he gave a TedX talk about the topic. </a>We also take a listener question about what maths you should take to get into building ML tools. Our guests this week are Moshe Vardi, Karen Ostrum George Distinguished Service Professor in Computational Engineering and Director of the <a href="http://www.k2i.rice.edu/" target="_blank">Ken Kennedy Institute for Information Technology</a> at Rice University and Margaret Levi Director of the <a href="http://www.casbs.org/" target="_blank">Center for Advanced Study in the Behavioral Sciences</a>(CASBS) at Stanford and Professor of Political Science, Stanford University, and Jere L. Bacharach Professor Emerita of International Studies in the <a href="http://www.polisci.washington.edu/" target="_blank">Department of Political Science at the University of Washington</a>. They co-organized a symposium put on by the <a href="https://www.amacad.org/" target="_blank">American Academy of Arts and Sciences</a> and the <a href="https://royalsociety.org/topics-policy/projects/machine-learning/" target="_blank">Royal Society</a> about <a href="http://www.americanacademy.de/videoaudio/the-future-of-work/" target="_blank">the future of work</a>. We got a chance to speak to both of them about their work and the event.</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>
