{"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\/en\/current-advances-in-neural-networks\/","title":{"rendered":"Current Advances in Neural Networks"},"content":{"rendered":"
\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

Other publications<\/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

Regression Tree Ensembles For Wind Energy And Solar Radiation Prediction<\/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

Reinforcement Learning under Threats<\/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

Variationally Inferred Sampling through a Refined Bound\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

The study highlights how ensemble models enhance energy forecasts, promoting better energy management and investment strategies in the renewable sector.<\/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

The study introduces Threatened Markov Decision Processes and a level-k reasoning approach. It supports decision making in adversarial reinforcement learning scenarios, relevant to cybersecurity, finance and AI.<\/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

A new framework that enhances Bayesian inference in probabilistic models enhancing the efficiency of decision-making processes in various fields including financial analysis, risk management, machine learning, and logistics.<\/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

Learn More >><\/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

Learn More >><\/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

Learn More >><\/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>","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>","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\/en\/current-advances-in-neural-networks\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\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\/en\/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=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\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\":\"en-US\",\"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\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/komorebi.ai\/es\/#organization\",\"name\":\"Komorebi AI\",\"url\":\"https:\/\/komorebi.ai\/es\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@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\/en\/current-advances-in-neural-networks\/","og_locale":"en_US","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\/en\/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":{"Est. reading time":"3 minutes"},"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":"en-US","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":"en-US"},{"@type":"Organization","@id":"https:\/\/komorebi.ai\/es\/#organization","name":"Komorebi AI","url":"https:\/\/komorebi.ai\/es\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@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\/en\/wp-json\/wp\/v2\/pages\/8660"}],"collection":[{"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/comments?post=8660"}],"version-history":[{"count":29,"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/pages\/8660\/revisions"}],"predecessor-version":[{"id":9865,"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/pages\/8660\/revisions\/9865"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/media\/8810"}],"wp:attachment":[{"href":"https:\/\/komorebi.ai\/en\/wp-json\/wp\/v2\/media?parent=8660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}