K-tree is a tree structured clustering algorithm. It is also refered to as a Tree Structured Vector Quantizer (TSVQ). The goal of cluster analysis is to group objects based on similarity. Each object in a K-tree is represented by an n-dimensional vector. All vectors in the tree must have the same number of dimensions.

Programmer and CMU PhD Tom Murphy created a function to “beat” NES games by watching the score. When the computer did things that raised the score it would learn how to reproduce them again and again, resulting, ultimately, in what amounts to a Super Mario Brothers-playing robot. The program, called a “technique for automating NES games,” can take on nearly every NES game, but it doesn’t always win. [Pretty cool. Reminds me of when I hex-edited saved games in Snake in the 1980s to simulate playing the game "perfectly".]

Carnegie Mellon university researchers have developed a surveillance system that can not only recognize human activities but can also predict what might happen next.

Researchers, through the Army-funded research dubbed Mind's Eye, have created intelligent software that recognizes human activities in video and can predict what might just happen next; sounding an alarm if it detects anomalous behavior.

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.

The Gothenburg group has developed a psychological model of patterns as seen and selected by humans, and incorporated it in their IQ test solving programs. The result is a program that attacks abstract problems using approaches similar to those a very smart person would use.

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"Our programs are beating the conventional math programs because we are combining mathematics and psychology. Our method can potentially be used to identify patterns in any data with a psychological component, such as financial data. But it is not as good at finding patterns in more science-type data, such as weather data, since then the human psyche is not involved," says Strannegård.

The Cognitive Foundry is a modular Java software library for the research and development of cognitive systems. It contains many reusable components for machine learning, statistics, and cognitive modeling. It is primarily designed to be easy to plug into applications to provide adaptive behaviors.

The Cognitive Foundry's development is led by Sandia National Laboratories and is released under the open source BSD License.

scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems that are accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.

This article shows you how to write a relatively simple script to extract text paragraphs from large chunks of HTML code, without knowing its structure or the tags used. It works on news articles and blogs pages with worthwhile text content, among others…

imgSeek is a collection of free open source visual similarity projects. The query (image you are looking for) can be expressed either as a rough sketch painted by the user or as another image you supply (or an image in your collection). The searching algorithm makes use of multiresolution wavelet decomposition of the query and database images.

Two recent studies show that roboticists are applying some fresh thinking to the building and operation of robot hands, and a third suggests why the work is so important – it could be vital for domestic robots learning how to be useful around the home.