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What this episode covers

Equipes humanitárias que atuam nas operações de resgate na Turquia e na Síria estão utilizando Inteligência Artificial e algoritmos de Machine Learning para avaliar os danos causados pelos terremotos que atingiram a região nas últimas semanas. A iniciativa é fruto de um esforço coletivo do conjunto do Departamento de Defesa dos EUA, da Universidade da Califórnia e de empresas como a Microsoft. É utilizada uma plataforma Open Source, chamada Xview 2, que possibilita a descoberta de novas perspectivas com base no projeto inicial. A plataforma também usa algoritmos capazes de identificar danos nas estruturas e em todas as áreas onde o desastre aconteceu. Além disso, ranqueia alternativas mais e menos perigosas a fim de minimizar os riscos das equipes de resgate. No podcast MIT Technology Review Brasil desta semana, André Miceli, Carlos Aros e Rafael Coimbra discutem a capacidade da IA em auxiliar as equipes de resgate em momento de crise e as implicações éticas disso, além de avaliar quais outras tecnologias podem atuar como aliadas. A edição também apresenta a 11° edição do "Momento Estratégia de Valor", um oferecimento da EY Parthenon. Fabio T. Schmitt fala sobre convergência de setores e ecossistemas de negócios. Este podcast é um oferecimento de SAS.

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Frequently Asked Questions

How long is this episode of MIT Technology Review Brasil?

This episode is 34 minutes long.

When was this MIT Technology Review Brasil episode published?

This episode was published on February 27, 2023.

What is this episode about?

Equipes humanitárias que atuam nas operações de resgate na Turquia e na Síria estão utilizando Inteligência Artificial e algoritmos de Machine Learning para avaliar os danos causados pelos terremotos que atingiram a região nas últimas semanas. A...

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