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Probabilistic Numerical Computation: A New Concept? – Professor Mark Girolami

The Turing Lectures: The Intersection of Mathematics, Statistics and Computation - Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?"Lecture blurb:The vast amounts of...

Seth Lloyd: Universal Deep Quantum Learning

Quantum systems can generate non-classical correlations that can't be generated by classical systems. This talk investigates whether quantum devices can recognize patterns that can't...

Predictive Analytics Series on 2014's Indian Elections [Playlist]

This video series presents a case study on the application of analytics for predicting the outcome of the 2014 General Elections in India.

Ambient IQ: Intelligence Anywhere and Everywhere

Ambient data, collected through sensor networks and mobile devices, is transforming our physical environment into a ubiquitous experience which is personalized, context-aware, and responsive...

Ambient Intelligence – Fulvio Corno of Politecnico di Torino [Playlist]

Videos of the class lectures of the university course "Ambient intelligence: technology and design" held at Politecnico di Torino in year 2014/2015. Instructors: Fulvio Corno,...

Grady Booch on Computing: The Human Experience – "I Think, Therefore...

"Computational intelligence is the manifest destiny of computer science." — Ed FeigenbaumIs the mind computable? Can we build sentient machines? What are the implications for...

Promise and Perils of AI – Osmar Zaiane [Playlist]

Dr. Osmar Zaiane presents Problems and Perils of AI Part I on January 21, 2014 in the Technology and Future of Medicine course at...

AI, Its Metaphors, and Their Mutations – Hamid Ekbia

ABSTRACTThat human cognition is inherently metaphorical is as much a fact of ordinary thinking as it is of science and engineering, where metaphors loom...

An Equation For Intelligence: Alex Wissner-Gross [Video+Paper]

What is the most intelligent way to behave? Dr. Wissner-Gross explains how the latest research findings in physics, computer science, and animal behavior suggest...

Brains, Sex, and Machine Learning with Geoffrey Hinton

Abstract Recent advances in machine learning cast new light on two puzzling biological phenomena. Neurons can use the precise time of a spike to communicate...

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)

Probabilistic Systems Analysis and Applied Probability (MIT 6.041) [Playlist w/ Textbooks]

Course Description Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there...

Computing with Randomness: Probability Theory And The Internet

In recent years, probability theory has come to play an increasingly important role in computing. Professor Sahami gives examples of how probability underlies a...

Quantum Annealing meets Machine Learning – William Macready (D-Wave Systems Inc.)

"Quantum Computing offers the theoretical promise of dramatically faster computation through direct utilization of the underlying quantum aspects of reality. This idea, first proposed...

Tom Mitchell: Never Ending Language Learning

Tom M. Mitchell, Chair of the Machine Learning Department at Carnegie Mellon University, discusses Never-Ending Language Learner (NELL) -- a computer program that runs...
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