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  • The Newest Weapon Against Covid-19: AI That Speed-Reads Faxes

    December 22, 2020 |

    Wired |

    Text |

    800-1500 Words

    Response Location: United States, Contra Costa County, California

    Researchers from Stanford University have developed a software that uses machine-learning algorithms to identify and flag urgent faxes about COVID-19 cases. While the project doesn't have complete accuracy, it has helped overwhelmed and overburdened health care workers at the health department in Contra Costa County, California work more efficiently.

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  • A Clever Strategy to Distribute Covid Aid—With Satellite Data

    December 17, 2020 |

    Wired |

    Text |

    1500-3000 Words

    Response Location: Togo

    To quickly distribute money to poverty-stricken areas in Togo during the coronavirus pandemic, the country's government turned to mobile cash payments. Working with a nonprofit and UC Berkeley’s Center for Effective Global Action, Togo established a system of mobile payments to reach 30,000 of Togo’s poorest people who were identified via satellite imagery and image analysis algorithms.

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  • Can an Algorithm Prevent Suicide?

    November 23, 2020 |

    The New York Times |

    Text |

    1500-3000 Words

    Response Location: United States

    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

    November 20, 2020 |

    The New York Times |

    Text |

    800-1500 Words

    Response Location: India, Nandurbar

    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

    September 22, 2020 |

    BBC |

    Podcast |

    Over 15 Minutes

    Response Location: Israel

    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

    September 01, 2020 |

    Bloomberg |

    Text |

    800-1500 Words

    Response Location: United States, Texas

    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

    August 27, 2020 |

    Government Technology |

    Text |

    800-1500 Words

    Response Location: United States, Pennsylvania

    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

    August 21, 2020 |

    The New York Times |

    Text |

    1500-3000 Words

    Response Location: Israel, Beersheba

    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

    August 14, 2020 |

    Wired |

    Text |

    800-1500 Words

    Response Location: United Kingdom

    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

    August 07, 2020 |

    Bitterroot |

    Text |

    800-1500 Words

    Response Location: United States

    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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