Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
YAVISTA is a visualization tool making the debugging and the understanding of the MANET simulators 802.11 MAC layer easier thanks to a timeline representation. It works with NS-2 and Glomosim.
3D cellular automata modelling software for large general purpose simulations. Uses custom scripts for rules and can distribute processing over several machines.
Visual Turing Machine is a tool for visually designing Turing machines. This means no coding in abstract scripting languages, but simple point&click design. It uses the a..z symbol set, plus the "empty" # symbol, and also simulates an infinite tape.
This project constitutes an implementation of a custom-design distributed computing environment. The implementation is based on a form of Nbody simulation, which ran successfully across 33 networked-hosts.
This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling
iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
The complexity project will be a home for various tools and libraries associated with modelling complex systems. Initially featured will be the Central Dogma set of gene regulatory network simulation libraries, which have been recently open sourced.
A cross-platform cellular automaton facility. Implements simulation and visualization of multi-dimensional cellural automatas locally or in distributed mode.
METIL is a python-like interpreted or compiled language made for speed and generic programming, as in C++ but with static symbolic computations, type propagation, "for" surdefinition. Object orientation is centered on properties, rather than hierarchy.
QTnew is a universal Queueing Theory simulator. Different types of serving disciplines, time distributions, routes are supported. Simulation is extremely flexible: any custom simulation can be performed with JavaScript.
Metaquokka is a highly configurable xml editor, currently available as Gridsphere portlet. Besides the default format, there is suppoert for ESysXML, a simulation description scheme for a geodynamics framework. Supports Generic Mapping Tools rudimentary.
This project is an open library for the exchange of luminaire's near field measurment data. It takes the form of C function prototypes and of a sample implementation.
The goal of this project is to be an improvement of the original Network Animator (NAM) module provided as part of the Network Simulator 2 (NS2). This tool provides topology visualization, TCL script generation, and enhanced simulation animation.
JRete is a rule engine written in Java. Advantages over other expert system shell and artificial intelligence(AI) API - code rules in java language, data may compute accross network with multiple JRete, auto data persistence to database, event-fire direc
Hierarchical VCD Viewer is new trace file viewer. It's based on Qt 3.3.4 (migrating to Qt 4.1) graphic library and its main feature is to provide a hierarchical view of VCD trace file.
Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).