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Monthly Archives: May 2014

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Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning

Title: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning Speaker: Andrew Ng (吳恩達) Venue: UCLA | Graduate Summer SchoolSlides: Part 1 Slides1-68; Part 2 Slides 69-109 SLIDES (PDF) (Source: YouTube | 黄鑫)
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Introduction to Artificial Intelligence – Alan Mackworth – CPSC 322 [Playlist w/ Textbook]

OverviewCourse Description:  This course provides an introduction to the field of artificial intelligence.  The major topics covered will include reasoning and representation, search, constraint...
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Democratizing Artificial Intelligence With APIs

If you think Siri is smart, you haven't seen anything yet. Hear how APIs are putting cutting-edge capabilities in deep learning, cognitive computing and...
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Sam Adams of IBM on "Two Essentials for Artificial General Intelligence"

Sam Adams is an IBM Distinguished Engineer within IBM’s Research Division. He argued in his 2007 Singularity Summit presentation that if we are ever to...
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What Can Mathematics Teach Us About Mind/Brain?

Philosophy meets mathematics meets neuroscience in this roundtable investigating how cutting-edge mathematical models are elucidating the computational rules encoding brain functions and the implications...
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Architects of Mind: A Blueprint for the Human Brain

Is the human brain an elaborate organic computer? Since the time of the earliest electronic computers, some have imagined that with sufficiently robust memory,...
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