ALGORITHMIC AUTOS

Connected and automated vehicles use technology such as sensors, cameras and advanced control algorithms to adjust their operation to changing conditions with little or no input from drivers. A research group at the University of Delaware optimized vehicle dynamics and powertrain operation using connectivity and automation, while developing and testing a control framework that reduced travel time and energy use in a connected and automated vehicle.

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Algorithm tracker monitors Reddit rankings of COVID-19 posts

Since 2016, Cornell University assistant professor of communication J. Nathan Matias has tracked the algorithms on Reddit, a massive network of forums where people share content and news, and which claims to have more users than Twitter. As the coronavirus pandemic exploded, Matias began using the tool – called the COVID-19 Algo-Tracker – to monitor Reddit’s virus-related posts and threads, both to inform people about the mechanisms behind the information they’re receiving and to create a large, publicly available dataset for future research.

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A Faster Way To Replace Inaccurate Information On Social Networks

Researchers have demonstrated a new model of how competing pieces of information spread in online social networks and the Internet of Things. The findings may be used to disseminate accurate information more quickly, displacing false information on anything from computer security to public health.

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UCI and Disney Research scientists develop AI-enhanced video compression model

Irvine, Calif., Feb. 18, 2020 – A new artificial intelligence-enhanced video compression model developed by computer scientists at the University of California, Irvine and Disney Research has demonstrated that deep learning can compete against established video compression technology. Unveiling their work in December at the Conference on Neural Information Processing Systems in Vancouver, British Columbia, the UCI/Disney Research team members showed that their compressor – while still in an early phase – yielded less distortion and significantly smaller bits-per-pixel rates than classical coding-decoding algorithms such as H.

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Weizmann Scientists Devise New Algorithm that Predicts Gestational Diabetes

Using machine learning to analyze data on nearly 600,000 pregnancies, researchers devised an algorithm that identified nine parameters – out of more than 2,000 analyzed – that can predict which women are at risk of gestational diabetes. The parameters can identify risk early in – even before – pregnancy, enabling early intervention.

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Machine Learning Leads to Novel Way to Track Tremor Severity in Parkinson’s Patients

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.

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