{"ok":true,"nota":{"id":"4c456e668ef45cba","slug":"google-presenta-agentes-de-ia-para-analizar-datos-geoespaciales-sobre--4c456e","titulo":"Google presenta agentes de IA para analizar datos geoespaciales sobre el planeta","resumen":"Google Research presenta Earth AI, un conjunto de agentes de inteligencia artificial que trabajan con datos geoespaciales para abordar desafíos planetarios. La publicación describe el enfoque y sus posibles usos, sin detallar en la descripción disponible resultados medidos.","fuente":"google-research","fuenteNombre":"Google Research","color":"#4285f4","autor":"","url":"https://research.google/blog/putting-earth-ai-to-work-geospatial-agents-for-our-planets-biggest-challenges/","imagen":"https://storage.googleapis.com/gweb-research2023-media/original_images/EarthAITechReport1_Overview.gif","tema":"ciencia","subtemas":["datos geoespaciales","cambio climatico","inteligencia artificial","imagenes satelitales","gestion ambiental"],"entidades":["Google Research","Earth AI"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-14T16:14:00.000Z","indexTs":"2026-10-22T18:37:21.286Z","hash":"f90d04fbf7260309e8d781aa4087cd524b92ecda5d7c08862926b001e81e831e","tsa":{"time":"Oct 22 18:37:59 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Las herramientas que cruzan imágenes satelitales, clima y mapas pueden ayudar a detectar sequías, deforestación o inundaciones antes de que causen daños grandes. En un país con enorme superficie agropecuaria y zonas expuestas a incendios e inundaciones, eso puede cambiar cómo se planifican campos, ciudades y ayuda de emergencia. El problema es que quien controla estos modelos decide qué territorios se miran con más detalle.","quienFirma":"Google Research","confianza":"divulgacion","consulta":null},"sello":{"hash":"f90d04fbf7260309e8d781aa4087cd524b92ecda5d7c08862926b001e81e831e","sello":"9a6b1855d9a12169f5ce4141baa753c72a5740ccd978364acb45431b37ec11d2","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6575441,"aleatorio":"1e49c56e06d4dc19687733084c46535ff02509fddaae81d83250e3f332a1d3de","tiempo":"2026-10-22T18:37:30.000Z"},"nist":{"cadena":2,"pulso":1994920,"salida":"8961805AF5ECE75AA4E4FC17529CA8E71D2EF2F15C6C9680E2A7071267C1AE30077156D94829AF290AE5EC402611B7D2BBA51BBFE021033DBFF8AA67456E0E88","tiempo":"2026-10-22T18:37:00.000Z"},"noAntes":"2026-10-22T18:37:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 18:37:59 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Putting Earth AI to work: Geospatial agents for our planet's biggest challenges","descripcion":"Earth AI","pubDate":"Wed, 14 Oct 2026 16:14:00 +0000","url":"https://research.google/blog/putting-earth-ai-to-work-geospatial-agents-for-our-planets-biggest-challenges/"},"indexado":"2026-10-22T18:37:21.286Z"}}