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  • Can an Algorithm Prevent Suicide?

    Veterans Affairs' Reach Vet program uses an algorithm weighing 61 factors to flag veterans deemed at highest risk of suicide. While its results have not been shown to affect the suicide rate, it has more than doubled high-risk veterans' uses of V.A. services and been associated with a lower overall mortality rate. Built on an analysis of thousands of previous suicides in the V.A.'s system, Reach Vet assesses scores of facts from medical records, including some that are not obvious to humans trying to spot problems. Doctors then intervene and ensure the veteran has a suicide safety plan in place.

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  • These Algorithms Could Bring an End to the World's Deadliest Killer

    An app that uses A.I. to scans lung X-rays is helping two hospitals in rural and remote parts of India to identify cases of tuberculosis that they otherwise would have been likely to misdiagnose. Medical professionals caution that the app is not a replacement for a clinician's diagnosis but say when used in conjunction with a clinical assessment, the interpretation of a chest X-ray is likely to be more accurate.

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  • How to prevent drowning

    Three projects show how effective national strategies can be to reduce accidental drownings, which kill an estimated 320,000 people worldwide each year. In Israel, artificial intelligence software processes video feeds from beaches to alert lifeguards to emergencies. The three African nations sharing Lake Victoria have invested in inexpensive weather forecasting gear and public information services to alert people who fish or traverse the lake. And Bangladesh's systems of daycare and swimming lessons are saving the lives of previously unsupervised children at highest risk of drowning.

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  • Bitcoin Miner Is Scoring 700% Profits Selling Energy to Grid

    A cryptocurrency mining company in Texas called Layer1 can power down its data-processing centers and sell its unused electricity back to the power grid. Instead of passively consuming energy, they are able to utilize batteries, smart meters, and artificial intelligence software to use more renewable energy and, at the same time, make a profit. While scaling this response can be difficult due to restrictions from utility companies on how consumers get their energy, Layer1 estimates it will save up to $6.7 million annually by cutting production for 30 minutes during some of the hottest days in the summer.

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  • Project Uses AI to Maximize Meal Delivery to Students in Need

    Using AI technology, home address data, and algorithms, the Metro21 Institute at Carnegie Mellon was able to find the best school bus routes to deliver school meals to students during the COVID-19 pandemic. The solution wouldn’t have worked with the help of a community of partners, leaders, and volunteers. “It truly has taken a village.”

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  • For Quick Coronavirus Testing, Israel Turns to a Clever Algorithm

    The Israeli government is preparing to roll out a new form of pooled testing as the count of COVID-19 cases continues to increase. The methodology, which has already shown promise as a successful pilot project, works more efficiently than other pooled-testing efforts by using a combinatorial algorithm that was "developed a decade ago to speed the detection of rare genetic mutations."

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  • This AI startup is tackling the coronavirus disinformation deluge

    Logically is a fact-checking app that combines AI technology and human research to assess and label the truthfulness of news articles. The app has about 20,000 users after a soft launch in the UK, with a full launch planned for late 2020. The AI technology, a feature that makes the app unique, tries to match news claims to other sources and then human researchers take over to make a final judgment. The app has been busy fact-checking the extensive Covid-19 related misinformation. Some aspects, like technology glitches and slow fact-checking responses from researchers, still need to be worked out.

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  • AI & Big Data Will Lead to Better Conservation

    Naturalists are using technology like smartphone cameras and artificial intelligence to better track animal and plant conservation efforts across the United States. The online platform eButterfly allows users to share photos of butterflies that can inform scientists about how certain species’ ranges are shifting. Colorado Parks and Wildlife use a version of AI to identify and count species photographed by camera traps. While, AI could allow scientists to sort through more images and map out more complex ecological relationships, machine-learning algorithms take time to set up and large datasets to train.

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  • Bellevue uses AI technology to identify problem intersections and make them safer

    Artificial intelligence and traffic cameras are being used to identify dangerous intersections in Bellevue, Washington. Data from thousands of hours of footage revealed that intersections where drivers, bikers and pedestrians had near misses were the most problematic spots in need of improvement. Leveraging traffic data allowed the city to pinpoint potentially dangerous situations relatively quickly and implement the changes that are needed to secure those intersections.

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  • Building Trees in the Metaverse Might Actually Save the Forest

    By building scientifically accurate virtual tress, NatureXR is providing an opportunity for scientists, policymakers, and other stakeholders to use virtual reality to understand ecosystems and model conservation impacts. Creating an authentic 3D-version of a tree can be challenging, but by developing a “procedural” tree, the software can generate a forest of trees that are unique, accurate, and realistic. VR nature can also make the environment accessible for people who might not be able to experience it due to disabilities, distance, or even fear.

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