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9 articles
Quanscient and Haiqu have executed the most complex publicly documented quantum fluid dynamics simulation to date on IBM's Heron R3 hardware, marking a significant step toward practical quantum computing applications.
Learn how to build a basic satellite communication network simulation that demonstrates the principles behind systems like Globalstar and Starlink, and understand why companies are investing billions in satellite technology.
Learn how to set up a robot simulation environment and integrate AI models that can help robots understand and interact with their surroundings, similar to how Agile Robots partners with Google DeepMind.
Learn how NVIDIA Warp enables fast, accessible GPU-accelerated simulations using simple Python code, and why this matters for science, engineering, and AI.
AI2 has developed robotic models trained entirely in simulation, eliminating the need for real-world data collection. This breakthrough could transform robotics by speeding up development and reducing costs.
This article explains how virtual simulation data is revolutionizing physical AI development by enabling efficient training of robotic agents that can perform real-world tasks. It covers the concepts of sim-to-real transfer, domain randomization, and the role of platforms like AI2 and MolmoBot.
Learn to build a Python simulation of geothermal heat transfer models that demonstrate the principles behind deep geothermal energy extraction, similar to technologies being developed by companies like Telura.
Learn how to create and test AI agents that interact with each other, demonstrating how uncontrolled interactions can lead to system failures similar to those observed in OpenClaw AI research.
Nvidia's open-source DreamDojo world model enables robots to train in simulated environments using video data, bypassing traditional 3D engines. This innovation could transform robotics development by making advanced simulation tools accessible to a broader community.
