Analog optical inference on 5.84 million mortgage records achieves 94.6% balanced accuracy, with gaps traced to encoding and architecture rather than hardware non-idealities.
Gorishniy et al., Revisiting deep learning models for tabular data, Advances in Neural Information Processing Systems 34, 18932--18943 (2021)
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Analog Optical Inference on Million-Record Mortgage Data
Analog optical inference on 5.84 million mortgage records achieves 94.6% balanced accuracy, with gaps traced to encoding and architecture rather than hardware non-idealities.