news, journals and articles from all over the world.
A new study finds that an interactive voice application using artificial intelligence is as accurate at tracking the wellbeing of patients being treated for serious mental illness as their physicians.
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Iowa State engineers are working with collaborators to develop machine learning theories and software tools that can quickly and cheaply design better solar cells. Those theories and tools could also be applied to the rapid design of all kinds of new technologies.
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In two new papers, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have turned to the power of machine learning and artificial intelligence to dramatically accelerate battery discovery.
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Several Argonne researchers will attend the Supercomputing 2019 (SC19) conference to share scientific computing advances and insights with an eye toward the upcoming exascale era.
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A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other embedding approaches.
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By blasting a frustrated mixture of materials with quick pulses of laser light, researchers transformed a superlattice into a supercrystal, a rare, repeating, three-dimensional structural much larger than an ordinary crystal. Using machine learning techniques, they studied the underlying structure of this sample at the nanoscale level before and after applying the laser pulse treatment.
Read more⎯ A team of researchers from the National University of Singapore (NUS) has put Singapore on the global map of Artificial Intelligence (AI) and big data analytics. Their open-source project, called Apache SINGA, “graduated” from the Apache Incubator on 16 October 2019 and is now Southeast Asia’s first Top-Level Project (TLP) under the Apache Software Foundation, the world’s largest open-source software community.
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Physical exams only provide a snapshot of a Parkinson’s patient’s daily tremor experience. Scientists have developed algorithms that, combined with wearable sensors, can continuously monitor patients and estimate total Parkinsonian tremor as they perform a variety of free body movements in their natural settings. This new method holds great potential for providing a full spectrum of patients’ tremors and medication response, providing clinicians with key information to effectively manage and treat their patients with this disorder.
Read moreWhat can reading 26,000 books tell researchers about how language environment affects language behavior? Brendan T. Johns, an assistant professor of communicative disorders and sciences at UB has published a computational modeling study that suggests our experience and interaction with specific learning environments, like the characteristics of what we read, leads to differences in language behavior that were once attributed to differences in cognition.
Read moreNew research has predicted that driverless cars could worsen traffic congestion in the coming decades, partly because of drivers’ attitudes to the emerging technology and a lack of willingness to share their rides.
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Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.
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Scientists at Sanford Burnham Prebys Medical Discovery Institute have developed a machine-learning algorithm that gleans information from microscope images—allowing for high-throughput epigenetic drug screens that could unlock new treatments for cancer, heart disease, mental illness and more. The study was published in eLife.
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