Prove-able AI, Physics Based Synthetic Data

Physics Based Synthetic Data, Provable AI, Active Learning, Simulation workflow, Rare events, Edge Cases, data labeling, cold start, restricted data, Machine Learning, neural network training data, feedback learning, AI data engineering, tools designed for machine learning, explainable outcomes, root cause traceability, physics based simulations, SAR data, Radar, LiDAR, Ultrasound,  IR, data realism, data diversity, richness of data label, human explainable outcomes, closed loop model and data generation, deep learning sandbox,  procedural generation, domain transfer, Physically accurate sensor modeling,Physically accurate material properties including microscopic roughness and Bragg scattering, Polarimetric output, Raw signal stored (complex voltage or radio I/Q), widar, Earth Observation platform, creation of non-visual sensor data, GPU-accelerated full-wave electromagnetic simulation accurate light transfer characteristic, fully ray traced caustics