Frontier Research and the End-to-End Capstone

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Sections

1. 72.1 Sensor and time-series foundation models: open problems
2. 72.2 Universal encoders and cross-modal physical AI
3. 72.3 Neural fields, differentiable sensors, and inverse sensing
4. 72.4 World models for physical AI
5. 72.5 Agentic and self-improving sensing systems
6. 72.6 Open research problems and evaluation gaps
7. 72.7 Capstone: select an application and sensing stack; define measurement and task; build acquisition and preprocessing; train a classical baseline and a modern/foundation model; evaluate generalization, uncertainty, and robustness; deploy or simulate deployment; produce a final technical and responsible-use report