• Application of a signal-native generative model that
transforms magnetic and ultrasonic waveforms into 3D
corrosion and wall-thickness profiles for infrastructure like
pipelines and pressurized vessels.
• Integration of synthetic signal generation and simulation-
trained embeddings to overcome data scarcity, reduce expert
dependency, and deliver explainable, regulation-aligned output.
• Future potential for adapting the same architecture to other
signal-rich domains such as medical diagnostics, where real
data is scarce, and model bias must be minimized from the start
Check out the incredible speaker line-up to see who will be joining Benjamin.
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