A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output adjustments, according to a study led by University of Michigan researchers, published in the journal Energy Conversion and Management: X.
Reinforcement learning for nuclear microreactor control
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
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AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
