Vision in the Making: Andrew Ng’s Startup Automates Factory Inspection
Summary
At Google Brain, Andrew Ng became famous for showing how deep learning could recognize cats in a sea of images with uncanny speed and accuracy. Like all chip makers, “they have a lot of visual inspection machines on the fab floor that scan wafers at various steps — and they do a good job finding anomalies — but they didn’t do as well classifying the things they found into types of defects,” said Quinn Killough, Landing’s liaison to the customer. “The primary engineer driving the project said he sees deep learning as transformative and wants to scale it out across his facility and get other plants to adopt it,” said Killough. The chip maker used LandingLens on NVIDIA V100 Tensor Core GPUs in a cloud-based service that runs inference on hundreds of thousands of images a day. “We aim to improve quality controls, creating a flywheel effect for fast and iterative AI processes,” said Jason Chan, product manager for LandingEdge.
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