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Friday 30th July 2010

On the evening of Saturday, August 14th, join us for exciting discussions with Summit Speakers at a cocktail reception hosted by the Singularity Institute. This event will feature the opportunity to meet with speakers at the 2010 Singularity Summit, the world’s premier conference on the technological Singularity, held in San Francisco on August 14th and 15th. The meeting will be held at the Infinity Towers in San Francisco. Tickets are limited to 70. For more information, contact Singularity Institute COO Amy Willey at amywilley@singinst.org. Register today!


Friday 30th July 2010
Call for Papers - ICDM-DDDM2010
The 2010 ICDM Workshop on Domain Driven Data Mining
URL: [link]
In conjunction with the 2010 IEEE International Conference on
Data Mining (ICDM 2010)
Sydney, Australia, December 14-17, 2010
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Thursday 29th July 2010
Drug calculations is a very hard course for many nursing students. A specially made computer game, developed in Norway, is set to help them pass a vitally important exam.

Thursday 29th July 2010

The Singularity Summit 2010 is almost here! The full schedule has been posted on the website. Here it is:

Day 1: The Future of Human Evolution

8:00 AM - 9:00 Registration starts. Breakfast served outside the hotel by Boudin
9:00 - 9:05 Sean McCabe: Introduction
9:05 - 9:40 Michael Vassar: The Darwinian Method
9:45 - 10:25 Gregory Stock: Evolution of Post-Human Intelligence
10:25 - 11:00 Coffee Break
11:00 - 12:00 Ray Kurzweil: The Mind and How to Build One
12:05PM - 12:40 Ben Goertzel: AI Against Aging
12:40 - 2:10 Lunch: Served by Boudin Outside the Hotel
2:10 - 2:45 Steven Mann: Extending Ourselves with Technology
2:50 - 3:20 Mandayam Srinivasan: Replacing Our Bodies
3:25 - 4:10 Brian Litt: The Past, Present and Future of Brain Machine Interface
4:15 - 4:45 Demis Hassabis: Machine Learning is Rapidly Discovering How the Brain Works
4:50 - 5:15 Coffee Break
5:20 - 5:45 Terry Sejnowski: Reverse-Engineering Brains is Within Reach
5:50 - 6:15 Dennis Bray: What Cells Can Do That Robots Can’t
6:15 - 7:00 Sejnowski/Bray Debate: Will We Soon Realistically Emulate Biological Systems?
7:00 PM Closing

Day 2: Why and How We Should Solve the World’s Problems

9:00AM - 9:35 Eliezer Yudkowsky: Simplified Humanism and Positive Futurism
9:40 - 10:15 Ramez Naam: The Digital Biome
10:15 - 10:40 Coffee & Bagels served by Boudin (see directions and map)
10:40 - 11:10 Lance Becker: Modifying the Boundary Between Life and Death
11:15 - 11:45 Ellen Heber-Katz: The MRL Mouse - How It Regenerates and How We Might Do the Same
11:50 - 12:35 Anita Goel: Rapid Diagnostics and Sensing with Nanofluidics
12:35PM - 2:00 Lunch Served by Boudin outside the hotel (see the map)
2:00 - 2:35 Shane Legg: Universal Measures of Intelligence
2:40 - 3:15 John Tooby: General Intelligence and Narrowly Intelligent Modules
3:20 - 4:00 Tooby, Goertzel, Yudkowsky & Legg panel: “Narrow and General Intelligence”
4:00 - 4:25 Break
4:25 - 4:55 David Hanson: Emotionally Intelligent Machines
5:00 - 5:30 Joseph Tsien: Deciphering Memory Code in the Brain
5:35 - 6:10 Irene Pepperberg: Nonhuman Intelligence: Where We Are and Where We’re Headed
6:15 - 7:00PM James Randi: Is There Such Thing as Scientific Consensus?


Wednesday 28th July 2010
Image capturing and image content description can be regarded as the two major steps of a computer vision process. This paper focuses on both within the field of specular surface inspection, by generalizing a previously defined stripe-based inspection method to free-form surfaces on the basis of a specific stripe illumination technique, and by outlining a general feature-based stripe image characterization approach by means of new theoretical concepts. One major purpose of this paper is to propose a general stripe image interpretation approach on the basis of a three-step procedure: (i) comparison of different image content description techniques, (ii) fusion of the most appropriate ones, and (iii) selection of the optimal features. It is shown that this approach leads to an increase in the classification rates of more than 2 % between the initial fused set and the selected one. The new contributions encompass (i) the generalization of a cylindrical specular surface enhancement technique to more complex specular geometries, (ii) the generalization of the previously defined stripe image description by using the same number of features for the bright and the dark stripes, (iii) the definition of an optimal, in terms of classification rates and computational costs, stripe feature set.


Computer vision - Paper - Specular reflection - Angle of incidence - NASA


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