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27 articles
Finland’s Quanscient has raised €10 million to develop a quantum- and AI-native simulation platform aimed at revolutionizing hardware design.
Learn how to create a simulation of China's national ID system for humanoid robots, including generating unique IDs, tracking performance data, and managing robot lifecycles.
Learn to simulate a four-armed robot in a microgravity environment using Python and PyBullet, similar to Orbit Robotics' Helios robot designed for space stations.
Learn how to create a basic Python simulation for monitoring data center energy consumption, inspired by xAI's reliance on natural gas turbines versus Tesla's solar initiatives.
Learn how to simulate autonomous vehicle fleets using CARLA and Python, replicating the technology used by companies like ECARX and May Mobility in their robotaxi development.
Learn to build a supply chain disruption simulation that demonstrates how a single disruption in epoxy resin production can affect downstream PCB and electronics manufacturing, similar to what happened in Iran's recent conflict.
Learn to create a basic humanoid robot simulation using Python and PyBullet, understanding core robotics concepts inspired by companies like Foundation Future Industries.
Learn to build a basic AI agent marketplace simulation that demonstrates the core concepts behind Anthropic's agent-on-agent commerce experiments.
Learn how to build a physics-based simulation environment for physical AI systems similar to those being developed by Jeff Bezos' Project Prometheus. This tutorial teaches you to create AI agents that can navigate physical environments and learn from physical interactions.
Learn to build a basic robot simulation with autonomous navigation and obstacle avoidance using Python and PyGame, inspired by the humanoid robot that set a half-marathon record.
Learn to simulate and analyze DRAM supply chain dynamics that explain the current global RAM shortage, using Python to model demand vs. supply scenarios.
Learn to create a basic autonomous vehicle simulation using Python and PyGame that demonstrates path planning and obstacle avoidance - core technologies behind Tesla's robotaxi service.