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What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315

What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
38 minutes
Released:
Nov 7, 2019
Format:
Podcast episode

Description

Today we’re joined by Tom Dietterich, Distinguished Professor Emeritus at Oregon State University. We had the pleasure of discussing Tom’s recent blog post, “What does it mean for a machine to “understand,” in which he discusses: Tom’s position on what qualifies as machine “understanding”, including a few examples of systems that he believes exhibit understanding. The role of deep learning in achieving artificial general intelligence. The current “Hype Engine” that exists around AI Research, and SOOO much more.   Make sure you check out the show notes at twimlai.com/talk/315, where you’ll find links to Tom’s blog post, as well as a ton of other references. 
Released:
Nov 7, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.