Notes on Physical AI &
synthetic data
Notes on Physical AI and synthetic data from the datadoo research team.
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The EU AI Act's Article 10 Is an Argument for Synthetic Data
Article 10 of the EU AI Act demands training data that is representative, complete, and free of errors. Real-world data rarely meets that bar. Synthetic data does.
Why Physical AI Starts with Synthetic Data
Physical AI systems need training data that obeys the laws of physics. Real-world capture cannot provide it at the scale, speed, or safety required. Synthetic data can.
Grounded Intelligence: How World Models Can Bridge Today's AI and Physical AI
World models learn to simulate physical dynamics. They may be the missing link between today's language-centric AI and the embodied systems that need to act in the real world.
Physical AI Needs Physical Truth: Synthetic Data That Obeys the World
Most synthetic data pipelines optimize for visual fidelity. For Physical AI, that is necessary but not sufficient. The underlying physics must be accurate too.
How Data Shapes AI Behavior: A Synthetic Perspective
Training data is not a passive input to model training. It is the primary lever for controlling what a model learns, how it fails, and who it works for.