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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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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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Eliminating foreign accent bias with video recorded interviews
We used deep learning to improve job applicant videos for an online recruiter, deciphering foreign accents and eliminating bias in the process.
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