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Identifying Potential Security Access Violations
We developed a semi-supervised neural network to identify anomalous security access card swipes in a large corporation with numerous facilities throughout the world, previously hidden secure access violations.
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Energy demand prediction for generation management
We developed a deep reinforcement learning model to assist energy producers in scheduling maintenance and minimizing operating costs.
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Reducing Audit Risks in Tax Filings with Deep Learning
Crater Labs developed a neural network to highlight potential risk factors in R&D tax credit submissions, saving hundreds of hours in audit defence times.
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