Showing 9 open source projects for "ai research"

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    MentDB Projects

    MentDB Projects

    Generalized Interoperability and Strong AI

    MentDB is an open-source platform driving research into next-generation AI and universal data exchange. Our architecture is built around the revolutionary Mentalese Query Language (MQL). MentDB Weak (Generalized Interoperability): A unified data layer enabling seamless data exchange and application integration (SOA, ETL, Data Quality). We eliminate data silos through a single, generalized data language.
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  • 2
    Open Cezeri Library

    Open Cezeri Library

    Effective Linear Algebra and Computer Vision Library with JAVA

    OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-...
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  • 3
    breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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  • 4
    Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
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    Pest Control Management Software

    Pocomos is a cloud-based field service solution that caters to businesses

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  • 5
    JAVA based tool for easy and realtime monitoring (RTM) of data streams or groups of data streams. This tool makes it easy to monitor inherent distributed or multi-threaded applications like e.g. agent systems, financial data, logistics, RFID Systems
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  • 6
    An extended version of RoboCup Rescue Simulation official viewer intended to make it more informative. It utilizes charts, statistics and some missing little useful features.
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  • 7
    ai applications,or 'aiapps', is a suite of applications applying algorithms and methods from the domain/field of artificial intelligence, machine learning, evolutionary computation, neural nets etc....to real world problems
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  • 8
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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  • 9
    multi-agent approach to traffic control: -3D visualization -XML-input for traffic networks -simulation progress control -basic performance statistics -delegate MAS -BDI based vehicles -pluggable behavior modules -pluggable coordination modules
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