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EPISODE · Feb 22, 2016 · 17 MIN

Paradigms in Artificial Intelligence

from Linear Digressions · host Katie Malone

Artificial intelligence includes a number of different strategies for how to make machines more intelligent, and often more human-like, in their ability to learn and solve problems. An ambitious group of researchers is working right now to classify all the approaches to AI, perhaps as a first step toward unifying these approaches and move closer to strong AI. In this episode, we'll touch on some of the most provocative work in many different subfields of artificial intelligence, and their strengths and weaknesses. Relevant links: https://www.technologyreview.com/s/544606/can-this-man-make-aimore-human/ https://www.youtube.com/watch?v=B8J4uefCQMc http://venturebeat.com/2013/11/29/sentient-code-an-inside-look-at-stephen-wolframs-utterly-new-insanely-ambitious-computational-paradigm/ http://www.slate.com/articles/technology/bitwise/2014/03/stephen_wolfram_s_new_programming_language_can_he_make_the_world_computable.html

Episode metadata supplied by the publisher feed · Published Feb 22, 2016

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