
Science
Deep Doo-Doo: AI App Diagnoses Poop Better Than People
People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
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People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
Science
Hospitals across the United States are relying on AI to keep patients safe. Doctors are using a variety of machine learning systems to assess the risk that a given patient will suffer complications.
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A new machine learning technique is boosting algae as a renewable, carbon-neural source of fuel for airplanes and other vehicles typically powered by fossil fuels.
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It’s surprisingly easy to turn a well-intended machine learning model to the dark side. In an experiment, Fabio Urbina and colleagues at Collaborations Pharmaceuticals, who had built a drug-discovery model to design useful compounds and avoid toxic ones, retrained it to generate poisons.
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Every gene in the human genome exists in a variety of mutations, and some encode protein variants that cause cells to malfunction, resulting in illness. Yet which mutations are associated with disease is largely unknown.
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People with certain genetic disorders share common facial features. Doctors are using computer vision to identify such syndromes in children so they can get early treatment.
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Nuclear fusion technology, long touted as an unlimited source of safe, clean energy, took a step toward reality with a machine learning algorithm that molds the fuel in a reactor’s core.
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Deep learning can predict how patients will respond to two antidepressant medicines.
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Astronomers may use deep learning to keep the sun in focus.What’s new: Researchers at the U.S. National Aeronautics and Space Administration (NASA), Catholic University of America, University of Oslo, and elsewhere developed a model that helps recalibrate a space telescope focused on the sun.
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Neural networks translated a paralyzed man’s brainwaves into conversational phrases. Researchers trained a system to interpret electrical impulses from the brain of a man who had lost the ability to speak 15 years ago, and displayed them as words on a video screen.
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An insect-sorting robot could help scientists grapple with the global biodiversity crisis. An automated insect classifier sucks in tiny arthropods, classifies them, and maps their most important identifying features.
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Computer vision is probing the history of ancient pottery | What’s new: Researchers at Northern Arizona University developed a machine learning model that identifies different styles of Native American painting on ceramic fragments and sorts the shards by historical period.