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, he recently wrote blog post on the subject and in the fall of 2017 he gave a TedX talk about the topic. 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 Ken Kennedy Institute for Information Technology at Rice University and Margaret Levi Director of the Center for Advanced Study in the Behavioral Sciences(CASBS) at Stanford and Professor of Political Science, Stanford University, and Jere L. Bacharach Professor Emerita of International Studies in the Department of Political Science at the University of Washington. They co-organized a symposium put on by the American Academy of Arts and Sciences and the Royal Society about the future of work. We got a chance to speak to both of them about their work and the event.

<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.&nbsp;</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>

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions.  Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what  to do with the answers.

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