BIG DOG
Big Dog es un robot (Boston Dynamics) cuadrúpedo que camina, corre, escala en terrenos complicados y además puede cargar pesos importantes. Como podreis ver es feo como el sólo, nada que ver con los aibos, pero el movimiento y la resistencia que tiene son la caña. Os recomiendo ver el vídeo entero y os ruego que no inténteis hacer lo mismo con los AIBOs!!
Aquí podeis ver el Video en youtube.
by jgamez
VisualRank
Dos investigadores de google han inventado un algoritmo denominado VisualRank que supondrá una revolución en la búsqueda de imágenes del mismo calibre que la que supuso en su dia el Page Rank.
Uno de ellos, Shumeet Baluja es conocido por haber propuesto el PBIL, uno de los Algoritmos de Estimación de Distribuciones de referencia.
El artículo que lo describe puede consultarse aquí.
Está disponible para descarga gratuita bajo licencia creative commons aquí.
CEC2009
Ya está disponible el call for papers del CEC 2009, que tendrá lugar en Noruega en mayo de 2009
El próximo viernes 23 de marzo a las 12:30h tendrá lugar, en laboratorio del grupo SIMD, el seminario Learning Probabilistic Decision Graph models from incomplete data, que será impartido por el Dr. Jens D. Nielsen.
Un resumen de la temática del mismo puede leerse a continuación:
This is a first study of how to apply the famous
framework of Nir Friedman (his key publications on this appeared in NIPS
97 and UAI 9 
to the PDG model. We use a standard model selection
algorithm employing a decomposable score metric and local operators for
modifying a current model. However, in the presence of incomplete data
the score metric does not decompose as the sufficient statistics are not
necessarily available. The exact computation of the score metric would
require us to average over all possible completions of the incomplete
database, making exact computation of score differences intractable in
general. Instead of performing exact computations, we can approximate
the score metric by using instead of the sufficient statistics (that we
do not have) the expected sufficient statistics. We iterate between 1)
using the current model to compute expected score improvements, and 2)
modifying the current model to maximize the expected score improvement.
This leads to a standard Expectation-Maximization algorithm for
structural learning in the presence of incomplete data.
SciVee - Scientific repository
SciVee is a platform which aims to be a clone of YouTube but for scientists. There researcher can share their work with all the scientific community, you can publish a paper and also a video explaining the content.
Upcoming events
4th European Starting AI Researcher Symposium
STAIRS 2008
in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-0
Patras, Greece
July, 2008
Submision Due: 31th March 2008
Conference Website
10th International Conference on Parallel Problem Solving From Nature
(PPSN 200
September 13-17, 2008
Technische Universität Dortmund, Germany
Submission due: April 14, 2008
Conference Website
The Workshop on AI in Games AIG-08
in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-0
Patras, Greece
July, 2008
Submission due: May 1st, 2008
Conference Website
1st International Workshop on ombinations of Intelligent Methods and Applications
(CIMA 200
in conjunction with the 8th European Conference on Artificial Intelligence (ECAI-0
July 21/22, 2008, Patras, Greece
Submission Due: May 5th, 2008
Conference Website
The 20th IEEE INTERNATIONAL CONFERENCE on TOOLS with ARTIFICIAL INTELLIGENCE
(ICTAI 200
November 3-5, 2008
Dayton, Ohio, USA
Submission due: June 2, 2008
Conference Website
IEEE Symposium on Computational Intelligence and Games
(CIG’0
15-18 December 2008
Perth, Australia
Submission due: 15 July 2008
Conference Website
El resto de los workshops del ECAI pueden ser consultados aquí: http://www.ece.upatras.gr/ecai2008/acworkshops.htm
En la cabecera del documento añadimos las siguientes instrucciones:
\def\changemargin#1#2{\list{}{\rightmargin#2\leftmargin#1}\item[]}
\let\endchangemargin=\endlist
Cada vez que queramos cambiar los márgenes:
\begin{changemargin}{-2.2cm}{-5cm}
…
…
\end{changemargin}
Es válido incluso para imágenes. Espero que le sea útil a alguien, yo perdí mucho tiempo hasta que lo encontré…
El próximo viernes 7 de marzo, a las 10:30, el Dr. Ali Miri, de la Universidad de Otawa, impartirá el seminario titulado Privacy-preserving data mining.
Un resumen de la temática del mismo puede leerse a continuación:
Although, data is very valuable in every organization, it must be processed in order to be useful. Data mining is a collection of techniques which find patterns and associations in raw data, and or classify or cluster the items according to their attributes. Nowadays, related data is normally distributed among two or more parties in different configurations, and mining can be done in an accurate and useful way for all parties involved, on all data collections. However, privacy is often crucial in different scenarios, and organizations involved do not want to disclose their own private information to each other. Therefore, standard algorithms of data mining must be modified, or new protocols have to be designed to preserve the privacy of the parties. In this talk, we will introduce several new Secure Multi-Party Computation (SMC) protocols, and show how they can be used to construct privacy-preserving ID3 decision tree, k-mean clustering algorithm, and neural networks. Time permitting, we will also discuss their computational and communication complexity overheads.
El próximo viernes 28 de febrero tendrá lugar en el laboratorio del grupo SIMD, a las 12:30, el seminario titulado “Some results and conjectures about GAs and EDAs”, a cargo de Luis de la Ossa.
