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Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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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.
Oscilloscope Virtual is a simulator orientated to the education but that allows his professional use. It has a very realistic and very interactive interface that simulates perfectly the behavior of a real osciloscopio of double draw.
JaWator is a Wa-Tor JavaApplet; a predator-prey simulation resembling a natural ecosystem, this Cellular Automaton delivers fluctuations similar
to the Lotka-Volterra equation. Inspired by A.K. Dewdney, Wa-Tor ecosystem (Scientific American, 1984)
GAZES - Genetic Algorithm Zombie Eradication Simulation Grid-based simulator for zombie scenario. The units will use genetic algorithm to determine their actions on a cycle by cycle basis. This is a school project, so is likely on hiatus for summer.
A self-sufficient java framework for numerical solution of ODEs (diff eqs) and visualization. Samples are aeronautics/astronautics/physics/rocketry themed. Focus on clean design, modularity, reusability and documentation. Educational project.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
SeSAm (Shell for Simulated Agent Systems) provides a generic environment for modelling and experimenting with agent-based simulation with a special focus on the easy construction of complex models including dynamic interdependencies or emergent behaviour