{"id":716,"date":"2025-07-24T19:27:19","date_gmt":"2025-07-24T19:27:19","guid":{"rendered":"https:\/\/pcreacondicionados.com\/blog\/swiss-startup-dice-que-su-pronosticador-del-tiempo-de-ia-vence-a-microsoft-google\/"},"modified":"2025-07-24T19:27:19","modified_gmt":"2025-07-24T19:27:19","slug":"swiss-startup-dice-que-su-pronosticador-del-tiempo-de-ia-vence-a-microsoft-google","status":"publish","type":"post","link":"https:\/\/pcreacondicionados.com\/blog\/swiss-startup-dice-que-su-pronosticador-del-tiempo-de-ia-vence-a-microsoft-google\/","title":{"rendered":"Swiss Startup dice que su pronosticador del tiempo de IA vence a Microsoft, Google"},"content":{"rendered":"
\n

La startup suiza JUA ha lanzado un pronosticador meteorol\u00f3gico impulsado por IA que, seg\u00fan dice, supera a los modelos l\u00edderes de los gigantes tecnol\u00f3gicos, lo que podr\u00eda convertirlo en el sistema de pron\u00f3stico meteorol\u00f3gico m\u00e1s preciso del mundo.<\/span><\/p>\n

JUA afirma que su modelo, denominado EPT-2, es m\u00e1s r\u00e1pido y m\u00e1s preciso que Aurora de Microsoft y Graphcast Graphcast de Google Deepmind. En separado, <\/span>revisado por pares<\/span><\/a> estudios<\/span><\/a>se demostr\u00f3 que ambos modelos son m\u00e1s precisos que el Centro Europeo para el pron\u00f3stico de los pron\u00f3sticos meteorol\u00f3gicos de mediano alcance (ECMWF), ampliamente considerado como el l\u00edder mundial.<\/span><\/p>\n

JUA respalda sus llamadas afirmaciones con un nuevo informe, publicado hoy, que pone a EPT-2 frente a los modelos de primer nivel, incluidos Aurora y dos de los mejores: ENS e IFS Hres de ECMWF.<\/span><\/p>\n

Seg\u00fan el documento, EPT-2 sali\u00f3 en la cima, entregando los pron\u00f3sticos m\u00e1s precisos en todos los \u00e1mbitos. Venci\u00f3 a Aurora en variables clave como la velocidad del viento de 10 metros y la temperatura del aire de 2 metros durante un per\u00edodo de 10 d\u00edas, Ran pronostica un 25% m\u00e1s r\u00e1pido y registr\u00f3 los puntajes de error m\u00e1s bajos de todos los modelos probados. JUA dice que logr\u00f3 todo esto mientras usaba un 75% menos de potencia inform\u00e1tica que Aurora, el segundo sistema m\u00e1s eficiente probado. <\/span><\/p>\n

La investigaci\u00f3n se publicar\u00e1 en el archivo de acceso abierto ARXIV la pr\u00f3xima semana, seg\u00fan JUA.<\/span><\/p>\n

El modelo Graphcast de Deepmind no se incluy\u00f3 en el estudio. Sin embargo, Marvin Gabler, CEO y cofundador de JUA, conf\u00eda en que puede vencer a toda la competencia. <\/span><\/p>\n

\u00abRespetamos a los jugadores como Microsoft Aurora, Graphcast y Tomorrow.io, pero son demasiado lentos, demasiado estrechos o a\u00fan dependen de la infraestructura heredada\u00bb, dijo Gabler. <\/span><\/p>\n

El pron\u00f3stico del tiempo basado en la IA ha estado haciendo olas en los \u00faltimos a\u00f1os, impulsadas por la demanda de formas m\u00e1s precisas y m\u00e1s baratas de predecir el clima de la Tierra. <\/span><\/p>\n

Los modelos clim\u00e1ticos tradicionales, como los de ECMWF o NOAA, utilizan ecuaciones de f\u00edsica complejos que se ejecutan en supercomputadoras de mil millones de d\u00f3lares. Los modelos de IA omiten las ecuaciones, de aprendizaje de patrones de conjuntos de datos masivos, lo que puede hacer pron\u00f3sticos precisos miles de veces m\u00e1s r\u00e1pido en m\u00e1quinas mucho m\u00e1s baratas y menos intensivas en energ\u00eda.<\/span><\/p>\n

Sin embargo, Gabler dice que JUA lo lleva un paso m\u00e1s all\u00e1 de los pronosticadores anteriores basados en IA. <\/span>\u00abMientras que otros est\u00e1n modificando la IA en los sistemas heredados, hemos creado una simulaci\u00f3n de f\u00edsica nativa que comprende c\u00f3mo se comporta realmente la atm\u00f3sfera de la Tierra\u00bb, dijo.<\/span> <\/span><\/p>\n

JUA lanz\u00f3 su primer modelo global de clima de IA hace tres a\u00f1os. Desde entonces, la startup ha recaudado un total de $ 27 millones en fondos de patrocinadores, incluidos 468 Capital, Future Energy Ventures y Promus Ventures. <\/span><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

La startup suiza JUA ha lanzado un pronosticador meteorol\u00f3gico impulsado por IA que, seg\u00fan dice, supera a los modelos l\u00edderes 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