A pesar de los desafíos, en Centroamérica existen grandes posibilidades de desarrollo que apuntan a fortalecer su resiliencia.

Haris Sanahuja |

Taji, a young boy in Nairobi, Kenya, sits outside his flooded classroom. School’s out, but not by choice. Cycles of floods and droughts have hit major African cities like Nairobi.

Zirra Banu |

The Government of Kenya, with the help from the World Bank, is providing Kenyan youth with more agency and a platform to voice their thoughts and concerns about how budget is spent.

Claire Davanne |

As the world rushes to reduce the negative impacts of climate change, ambitious sub-national actors are rising to the fore. The recent One Planet Summit exemplifies this trend. Earlier this month…

Prashant Kapoor, Marc Forni |

From Canada to Kenya, nearly every country struggles to provide housing for all its residents. It’s a goal that has become a moving target: Migration – both rural-to-urban and cross-border – is…

Luis Triveno, Olivia Caldwell |

The Africa Disaster Risk Financing Initiative supports agriculture insurance programs which unlock critical assess to credit for low-income farmers in Kenya, as well as in Uganda and Rwanda. Photo…

Hugo Wesley, Lorenzo Piccio |

The 2017 Hurricane season was the most devastating season on record in terms of cost. For many, it was a stark reminder of how the entire economy of a small nation can be wiped out in a few hours…

Christelle Chapoy, Mariana Ceratti, Brune Andre |

版本: English

机器学习算法能够很好地回答“是”或“不是”类问题。举例说,它们能够扫描庞大的数据集,而且能够准确地把以下问题的答案告知我们:这笔信用卡交易有欺诈嫌疑吗?这张图片中有只猫吗?

它们不仅能够应对简单问题,还能够应对微妙、复杂的问题。

当前,机器学习算法能够比受训过的人眼更可靠地探测出100多种癌症肿瘤。鉴于这一惊人的准确性,…

Sarah Elizabeth Antos, Luis Triveno |

Labores de limpieza en el río Matanza-Riachuelo, en la provincia de Buenos Aires, uno de los más contaminados de América Latina/Banco Mundial Disponible en inglés Cuando hablamos de inundaciones,…

Victor Vazquez Alvarez, Alexander Serrano |

Also available in: Español | Français  | 中文  Machine learning algorithms are excellent at answering “yes” or “no” questions. For example, they can scan huge datasets and correctly tell us: Does…

Sarah Elizabeth Antos, Luis Triveno |