An American research team wanted to know which combination of diet and exercise has the most beneficial results on metabolic syndrome in 10 weeks.
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Category: health – Page 369
Using artificial intelligence and machine learning techniques, researchers at Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in China, Germany and Texas, have developed a new computational tool to screen patients with common but blinding retinal diseases, potentially speeding diagnoses and treatment.
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Thousands of years ago, oracles read the future through divine inspiration. Today, we’ve still got Oracle making predictions (along with many other forward-thinking tech firms), but it uses something a little more grounded. Artificial intelligence and its capacity to assess approaching events are pretty awe-inspiring even without the supernatural flair.
Many industries are looking to artificially intelligent software to help make predictions on everything from a customer’s buying decisions to which medical treatments will be most effective for a sick patient. Though we live in a world that still depends on the educated guesses of experts, it is becoming increasingly clear that next generation of prognosticators will be more silicon-based than carbon-based.
AI is a prediction technology at its very essence. With the ability to evaluate data exponentially faster than any person, machine learning programs can assess patterns, make connections, and test hypotheses in less time than it takes their human equivalent to pour a cup of coffee. Thanks to its advanced capabilities, AI’s predictions are already taking shape, with strong implications for retail, health care, and the way we understand the world around us.
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Researchers at North Carolina State University have developed a new technique that allows them to print circuits on flexible, stretchable substrates using silver nanowires. The advance makes it possible to integrate the material into a wide array of electronic devices.
Silver nanowires have drawn significant interest in recent years for use in many applications, ranging from prosthetic devices to wearable health sensors, due to their flexibility, stretchability and conductive properties. While proof-of-concept experiments have been promising, there have been significant challenges to printing highly integrated circuits using silver nanowires.
Silver nanoparticles can be used to print circuits, but the nanoparticles produce circuits that are more brittle and less conductive than silver nanowires. But conventional techniques for printing circuits don’t work well with silver nanowires; the nanowires often clog the printing nozzles.
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