{"id":27265,"date":"2024-04-11T12:06:03","date_gmt":"2024-04-11T10:06:03","guid":{"rendered":"https:\/\/networks.imdea.org\/?p=27265"},"modified":"2024-04-11T12:16:09","modified_gmt":"2024-04-11T10:16:09","slug":"imdea-networks-research-on-a-new-ai-explainability-tool-for-mobile-networks-wins-award-at-ieee-infocom-2024","status":"publish","type":"post","link":"https:\/\/networks.imdea.org\/es\/investigacion-de-imdea-networks-sobre-una-nueva-herramienta-de-explicabilidad-de-ia-para-redes-moviles-es-premiada-en-ieee-infocom-2024\/","title":{"rendered":"Investigaci\u00f3n de IMDEA Networks sobre una nueva herramienta de explicabilidad de IA para redes m\u00f3viles es premiada en IEEE INFOCOM 2024"},"content":{"rendered":"<p>El trabajo \u00ab<a href=\"https:\/\/dspace.networks.imdea.org\/handle\/20.500.12761\/1788\" target=\"_blank\" rel=\"noopener\">AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks<\/a>\u00bb (<strong>Claudio Fiandrino, Eloy P\u00e9rez G\u00f3mez, Pablo Fern\u00e1ndez P\u00e9rez, Hossein Mohammadalizadeh, Marco Fiore and Joerg Widmer<\/strong>) ha sido galardonado con el Premio a \u201cMejor Paper\u201d en la prestigiosa conferencia IEEE INFOCOM 2024, que est\u00e1 teniendo lugar en Vancouver, Canad\u00e1 durante los d\u00edas 20-23 de mayo.<\/p>\n<p>Este estudio presenta \u00ab<strong>AIChronoLens\u201d, una herramienta innavodora que genera explicaciones para los modelos de inteligencia artificial (IA)<\/strong> que se ocupan de predecir series temporales. Estos modelos de IA se utilizan en diferentes campos cient\u00edficos, desde las finanzas hasta la epidemiolog\u00eda. En el \u00e1mbito de las redes m\u00f3viles, estos modelos son muy \u00fatiles para prever las futuras cargas de tr\u00e1fico de las estaciones base 5G.<\/p>\n<p>Seg\u00fan Claudio Fiandrino, Investigador Senior de IMDEA Networks y uno de los autores del paper: \u201cEs un trabajo sin precedentes por varias razones. En primer lugar, <strong>aborda una necesidad cr\u00edtica: la falta de claridad en las t\u00e9cnicas tradicionales de explicabilidad<\/strong>. A diferencia de esas t\u00e9cnicas que proporcionan puntuaciones de relevancia sobre los datos de entrada con independencia de la propia estructura de los datos, AIChronoLens relaciona las explicaciones con la presencia o ausencia de m\u00e1ximos y m\u00ednimos y otras propiedades temporales de los datos de entrada. De este modo, AIChronoLens crea una relaci\u00f3n entre el funcionamiento del modelo y el sistema f\u00edsico\u201d.<\/p>\n<p>En segundo lugar, abre varias v\u00edas de investigaci\u00f3n. Fiandrino destaca que \u201c<strong>el an\u00e1lisis de la salida de AIChronoLens permite profundizar en el comportamiento del modelo y detectar la causa oculta de los errores<\/strong>, como la falta de datos en el conjunto de entrenamiento o la complejidad intr\u00ednseca de ciertos datos. Tambi\u00e9n puede comparar diferentes modelos aplicados al mismo conjunto de datos, m\u00e1s all\u00e1 de las m\u00e9tricas simples de precisi\u00f3n de la predicci\u00f3n, lo que lo convierte en una herramienta de verificaci\u00f3n valiosa para los modelos de IA actuales y futuros\u201d.<\/p>\n<p>En cuanto a las aplicaciones pr\u00e1cticas, el investigador se\u00f1ala: \u201cEstamos en los albores de la era de la confianza en la IA y AIChronoLens es un peque\u00f1o paso m\u00e1s para concretar esta visi\u00f3n. Puede ser utilizado por la comunidad investigadora durante el desarrollo de nuevos modelos de IA para verificar su l\u00f3gica interna y comparar su rendimiento con modelos conocidos de una forma mucho m\u00e1s sofisticada que la que es posible realizar hoy en d\u00eda. Por ejemplo, <strong>permite conocer la confianza de una predicci\u00f3n<\/strong> dados los conocimientos que el modelo de IA ha obtenido tras el entrenamiento.\u201d<\/p>\n<p>Este reconocimiento en la conferencia IEEE INFOCOM 2024 destaca la importancia de AIChronoLens en el avance de la explicabilidad y confianza en los modelos de IA, prometiendo beneficios significativos en diversas \u00e1reas cient\u00edficas y tecnol\u00f3gicas.<\/p>","protected":false},"excerpt":{"rendered":"El trabajo \u00abAIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks\u00bb (Claudio Fiandrino, Eloy P\u00e9rez G\u00f3mez, Pablo Fern\u00e1ndez P\u00e9rez, Hossein Mohammadalizadeh, Marco Fiore and Joerg Widmer) ha sido galardonado con el Premio a \u201cMejor Paper\u201d en la prestigiosa conferencia IEEE INFOCOM 2024, que est\u00e1 teniendo lugar en Vancouver, Canad\u00e1 durante los d\u00edas 20-23&#8230;","protected":false},"author":319,"featured_media":27271,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[468,492,464,473,465],"class_list":["post-27265","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria","tag-5g","tag-artificial-intelligence-ai","tag-imdea-networks","tag-innovation","tag-internet"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - 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