A new artificial intelligence system unveiled Wednesday by doctors at Johns Hopkins offers to provide a clearer picture for patients: In testing, it displayed a superhuman ability to differentiate harmful lesions from ones that pose no threat at all.

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For many reasons, parents and teachers may fail to intervene when they spot LGBTQ teens in trouble. Can Google help?

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Please and Thank You

June 3, 2019

Do we Have Moral Obligations Towards Emotionally Intelligent Machines? Do you say “thank you” to Alexa (or your preferred AI assistant)?

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“This is where we think machine learning has the great opportunity to help us,” said Dr. Daniel Cantillon, a cardiologist who serves as medical director of the CMU. “The challenge is we have to be able to call our shots in advance, and that’s something we’re deeply invested in”

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What happens when an algorithm can ask neurons what they want to see?

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…Before we create an AI with humanlike sophistication deserving humanlike ethical consideration, we will very likely create an AI with less-than-human sophistication, deserving some less-than-human ethical consideration

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University College Hospital in London created an algorithm using records from 22,000 appointments for MRI scans, allowing it to identify 90% of those patients who would turn out to be no-shows

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In new research published today in NPJ Digital Medicine, scientists at Cornell University trained an off-the-shelf Google deep learning algorithm to identify IVF embryos as either good, fair, or poor based on the likelihood each one would successfully implant

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