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Bitcoin Miner Is Scoring 700% Profits Selling Energy to Grid

Chris Martin

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

Ben Levine

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

David Halbfinger

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

Michelle Baruchman

August 07, 2020 |

The Seattle Times |

Text |

1500-3000 Words

Response Location: United States, Bellevue, Washington

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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AI & Big Data Will Lead to Better Conservation

Jake Bullinger

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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How Your Local Election Clerk Is Fighting Global Disinformation

Matt Vasilogambros

July 20, 2020 |

Stateline |

Text |

1500-3000 Words

Response Location: United States

Many entities are working with social media companies to flag election-related disinformation. The California Secretary of State emails voters about how to report false information so the state can flag it and the Arizona Secretary of State verifies official accounts with social media companies. In the private sector, the startup VineSite uses artificial intelligence to identify and flag false information and the nonprofit Mitre has an app used by 160 election officials to report social media disinformation. Officials have a good relationship with social media companies, but there is room for improvement.

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How Facebook is using AI to boost blood donation

Faustine Ngila

June 25, 2020 |

Nation Africa |

Text |

Under 800 Words

Response Location: Kenya

A partnership between Facebook and the Ministry of Health in Kenya has helped connect blood banks with blood donors. The process uses artificial intelligence and geo-location data to notify Facebook users who have signed up as blood donors when blood banks in their area are in need of donations.

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How tech is tackling wildlife trafficking

Richard Kenny

June 23, 2020 |

BBC |

Radio |

Over 15 Minutes

Response Location: Cambodia

Three examples of new science behind successful efforts to prevent or punish the poaching of protected wildlife starts with PAWS: Protection Assistant for Wildlife Security, an artificial intelligence tool that helped officials in Cambodia predict where poachers would set snares. In an undisclosed location in East Africa, another form of AI powers a miniature trail camera that can detect human activity and alert rangers to rush in for arrests. And Kenya prosecuted four cases of pangolin trafficking by using a new method of lifting fingerprints from the poached animals' precious scales.

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STAT's guide to how hospitals are using AI to fight Covid-19

Casey Ross Rebecca Robbins Erin Brodwin

March 31, 2020 |

STAT |

Text |

1500-3000 Words

Response Location: United States

A variety of AI tools are being used by the healthcare industry to try to identify cases of coronavirus. Although it's not yet clear which will be most successful in doing so, tools such as automated chatboxes, algorithms to identify at-risk people, and the use of modeling and projections are all being piloted to help aid hospitals, clinicians, and patients.

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You — yes, you — can help AI predict the spread of coronavirus

Sigal Samuel

March 19, 2020 |

Vox |

Text |

1500-3000 Words

Response Location: United States, Pittsburgh, Pennsylvania

The Centers for Disease Control and Prevention recently asked Roni Rosenfeld, a professor of computer science who typically uses artificial intelligence to forecast the spread of seasonal influenza, to turn his computing power on the spread of COVID-19. However, Rosenfeld himself was reluctant at first given the lack of data available upon which to base his predictions.

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