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Leni is an experimental human language recognition and processing tool which is based on learning and therefore nearly independent on any particular spoken language.
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This Project would create an automaton that could interact with humans or other automaton in the net. It is developed by creating a kernel and a plugin system tha add more capacity to interact with the enviroment that it is in.
This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.
aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements.
This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.
A software package for evolving neural networks on several e-puck robots (www.e-puck.org, www.glowbots.com). The intention is to let the e-pucks evolve communication in cooperation with human beings.
WHAY is a Video-based Face Recognition tool written in MATLAB. It aims to exploits PCA recognizing as better as possible and tests the limits of this approach.
This is an object recognition library written on top of OpenCV. Scalable Multimodal Object Recognition (SMORs) is designed for real time highly accurate object detection.
This project consists in tools programmed during the Master in Artificial Intelligence at UCLA, Venezuela. Este proyecto consiste en herramientas que programadas durante la Maestría de Inteligencia Artificial en la UCLA, Venezuela. 2006 - 2007
RectaGraphTrace aims to assist in step-by-step visualization of graph search algorithms by displaying graphs and automating the creation and correction of graph traces such as those that a student would produce while manually executing a search.