Peter Norvig: Artificial Intelligence: A Modern Approach

À propos de cet épisode

<p><span style="font-weight: 400;">Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. This conversation is part of the Artificial Intelligence podcast.</span>&#160;If you would like to get more information about this podcast go to <a href="https://lexfridman.com/ai">https://lexfridman.com/ai</a> or connect with @lexfridman on <a href="https://twitter.com/lexfridman">Twitter</a>, <a href="https://www.linkedin.com/in/lexfridman/">LinkedIn</a>, <a href="https://www.facebook.com/lexfridman">Facebook</a>, <a href="https://medium.com/@lexfridman">Medium</a>, or <a href="https://www.youtube.com/lexfridman">YouTube</a> where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes&#160;or support it on <a href="https://www.patreon.com/lexfridman">Patreon</a>. Here&#8217;s the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode):</p> <p>00:00 &#8211; Introduction<br /> 00:37 &#8211; Artificial Intelligence: A Modern Approach<br /> 09:11 &#8211; Covering the entire field of AI<br /> 15:42 &#8211; Expert systems and knowledge representation<br /> 18:31 &#8211; Explainable AI<br /> 23:15 &#8211; Trust<br /> 25:47 &#8211; Education &#8211; Intro to AI &#8211; MOOC<br /> 32:43 &#8211; Learning to program in 10 years<br /> 37:12 &#8211; Changing nature of mastery<br /> 40:01 &#8211; Code review<br /> 41:17 &#8211; How have you changed as a programmer<br /> 43:05 &#8211; LISP<br /> 47:41 &#8211; Python<br /> 48:32 &#8211; Early days of Google Search<br /> 53:24 &#8211; What does it take to build human-level intelligence<br /> 55:14 &#8211; Her<br /> 57:00 &#8211; Test of intelligence<br /> 58:41 &#8211; Future threats from AI<br /> 1:00:58 &#8211; Exciting open problems in AI</p>