{"id":8660,"date":"2023-07-21T11:08:06","date_gmt":"2023-07-21T11:08:06","guid":{"rendered":"https:\/\/komorebi.ai\/?page_id=8660"},"modified":"2023-09-21T15:24:19","modified_gmt":"2023-09-21T15:24:19","slug":"current-advances-in-neural-networks","status":"publish","type":"page","link":"https:\/\/komorebi.ai\/es\/current-advances-in-neural-networks\/","title":{"rendered":"Current Advances in Neural Networks"},"content":{"rendered":"\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Current Advances in Neural Networks<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Annual Review of Statistics and Its Application, 2021<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

This article <\/span>reviews <\/b>the evolution and advances in<\/span> neural networks<\/b>, with a specific focus on their statistical aspects and the benefits of Bayesian approaches, then explores deep neural networks, their different architectures, and discusses issues such as security and interpretability.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

The article reviews neural networks' progress emphasizing Bayesian approaches and highlights relevance in predictive analytics, customer behavior analysis, and risk management in business sectors.\n<\/p><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t
\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Where does it apply?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

In the business and industry sectors, advancements in neural networks can be applied in areas such as <\/span>predictive analytics<\/b>, <\/span>customer behavior analysis<\/b>, risk management, automation processes, fraud detection, and enhancement of operational efficiency.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Current\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Why does it matters?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Understanding the evolution and advances in neural networks matters as it plays a pivotal role in developing more efficient, accurate, and robust machine learning models.\u00a0<\/span><\/p>

Emphasizing <\/span>Bayesian approaches <\/b>helps improve uncertainty estimates, enhances robustness against adversarial attacks, and <\/span>facilitates better decision-making under uncertainty<\/b>. Moreover, addressing issues such as security, explainability, and interpretability in neural networks is crucial to ensure ethical, reliable, and socially acceptable AI systems.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Current Advances in Neural Networks<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Annual Review of Statistics and Its Application, 2021<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\"\"<\/a>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tVictor Gallego <\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tChief Research Officer<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tNeural networks, customer behavior analysis<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tSource<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Current\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Otras publicaciones<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t\t
\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Wind\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Adversarial\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Variationally\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Ensemble<\/i> de \u00c1rboles de Regresi\u00f3n para la Predicci\u00f3n de Energ\u00eda E\u00f3lica y Radiaci\u00f3n Solar<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Aprendizaje por Refuerzo bajo Amenazas<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Muestreo con Inferencia Variacional a trav\u00e9s de un L\u00edmite Mejorado\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

El estudio destaca c\u00f3mo los modelos de <\/span>Ensemble<\/span><\/i> mejoran las previsiones de energ\u00eda; promoviendo una mejor gesti\u00f3n energ\u00e9tica y estrategias de inversi\u00f3n en el sector de las energ\u00edas renovables.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

El estudio introduce una nueva t\u00e9cnica, los Procesos de Decisi\u00f3n de Markov bajo Amenazas, que permite mejorar la toma de decisiones en escenarios de aprendizaje por refuerzo adversario. El trabajo tiene aplicaciones en ciberseguridad, finanzas e IA.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Una nueva t\u00e9cnica que mejora la inferencia bayesiana en modelos probabil\u00edsticos, aumentando la eficiencia de los procesos de toma de decisiones en diversos campos. Por ejemplo, el an\u00e1lisis financiero, la gesti\u00f3n de riesgos, el aprendizaje autom\u00e1tico y la log\u00edstica.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tRenewable energy, Predictive Analytics<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tReinforcement Learning, Decision Making<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tFinancial and risk analysis, Bayesian inference<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Saber m\u00e1s >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Current Advances in Neural Networks Annual Review of Statistics and Its Application, 2021 Abstract This article reviews the evolution and advances in neural networks, with a specific focus on their statistical aspects and the benefits of Bayesian approaches, then explores deep neural networks, their different architectures, and discusses issues such as security and interpretability. The […]<\/p>\n","protected":false},"author":1,"featured_media":8810,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"\nCurrent Advances in Neural Networks - Komorebi AI<\/title>\n<meta name=\"description\" content=\"Article reviews progress in neural networks using Bayesian approaches, with relevance in predictive analytics and risk management.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/komorebi.ai\/es\/current-advances-in-neural-networks\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Current Advances in Neural Networks - Komorebi AI\" \/>\n<meta property=\"og:description\" content=\"Article reviews progress in neural networks using Bayesian approaches, with relevance in predictive analytics and risk management.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/komorebi.ai\/es\/current-advances-in-neural-networks\/\" \/>\n<meta property=\"og:site_name\" content=\"Komorebi AI\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-21T15:24:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/komorebi.ai\/wp-content\/uploads\/2023\/08\/user-experience-scaled-e1691050596444.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1491\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/\",\"url\":\"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/\",\"name\":\"Current Advances in Neural Networks - Komorebi AI\",\"isPartOf\":{\"@id\":\"https:\/\/komorebi.ai\/es\/#website\"},\"datePublished\":\"2023-07-21T11:08:06+00:00\",\"dateModified\":\"2023-09-21T15:24:19+00:00\",\"description\":\"Article reviews progress in neural networks using Bayesian approaches, with relevance in predictive analytics and risk management.\",\"breadcrumb\":{\"@id\":\"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Portada\",\"item\":\"https:\/\/komorebi.ai\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Current Advances in Neural Networks\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/komorebi.ai\/es\/#website\",\"url\":\"https:\/\/komorebi.ai\/es\/\",\"name\":\"Komorebi AI\",\"description\":\"Komorebi\",\"publisher\":{\"@id\":\"https:\/\/komorebi.ai\/es\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/komorebi.ai\/es\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/komorebi.ai\/es\/#organization\",\"name\":\"Komorebi AI\",\"url\":\"https:\/\/komorebi.ai\/es\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\/\/komorebi.ai\/es\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/komorebi.ai\/wp-content\/uploads\/2022\/07\/isologotipo_normal.png\",\"contentUrl\":\"https:\/\/komorebi.ai\/wp-content\/uploads\/2022\/07\/isologotipo_normal.png\",\"width\":456,\"height\":277,\"caption\":\"Komorebi AI\"},\"image\":{\"@id\":\"https:\/\/komorebi.ai\/es\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Current Advances in Neural Networks - Komorebi AI","description":"Article reviews progress in neural networks using Bayesian approaches, with relevance in predictive analytics and risk management.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/komorebi.ai\/es\/current-advances-in-neural-networks\/","og_locale":"es_ES","og_type":"article","og_title":"Current Advances in Neural Networks - Komorebi AI","og_description":"Article reviews progress in neural networks using Bayesian approaches, with relevance in predictive analytics and risk management.","og_url":"https:\/\/komorebi.ai\/es\/current-advances-in-neural-networks\/","og_site_name":"Komorebi AI","article_modified_time":"2023-09-21T15:24:19+00:00","og_image":[{"width":2560,"height":1491,"url":"https:\/\/komorebi.ai\/wp-content\/uploads\/2023\/08\/user-experience-scaled-e1691050596444.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Tiempo de lectura":"3 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/","url":"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/","name":"Current Advances in Neural Networks - Komorebi AI","isPartOf":{"@id":"https:\/\/komorebi.ai\/es\/#website"},"datePublished":"2023-07-21T11:08:06+00:00","dateModified":"2023-09-21T15:24:19+00:00","description":"Article reviews progress in neural networks using Bayesian approaches, with relevance in predictive analytics and risk management.","breadcrumb":{"@id":"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/komorebi.ai\/current-advances-in-neural-networks\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/komorebi.ai\/current-advances-in-neural-networks\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Portada","item":"https:\/\/komorebi.ai\/"},{"@type":"ListItem","position":2,"name":"Current Advances in Neural Networks"}]},{"@type":"WebSite","@id":"https:\/\/komorebi.ai\/es\/#website","url":"https:\/\/komorebi.ai\/es\/","name":"Komorebi AI","description":"Komorebi","publisher":{"@id":"https:\/\/komorebi.ai\/es\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/komorebi.ai\/es\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/komorebi.ai\/es\/#organization","name":"Komorebi AI","url":"https:\/\/komorebi.ai\/es\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/komorebi.ai\/es\/#\/schema\/logo\/image\/","url":"https:\/\/komorebi.ai\/wp-content\/uploads\/2022\/07\/isologotipo_normal.png","contentUrl":"https:\/\/komorebi.ai\/wp-content\/uploads\/2022\/07\/isologotipo_normal.png","width":456,"height":277,"caption":"Komorebi AI"},"image":{"@id":"https:\/\/komorebi.ai\/es\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/pages\/8660"}],"collection":[{"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/comments?post=8660"}],"version-history":[{"count":29,"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/pages\/8660\/revisions"}],"predecessor-version":[{"id":9865,"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/pages\/8660\/revisions\/9865"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/media\/8810"}],"wp:attachment":[{"href":"https:\/\/komorebi.ai\/es\/wp-json\/wp\/v2\/media?parent=8660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}