{"id":919,"date":"2026-02-07T02:30:19","date_gmt":"2026-02-06T17:30:19","guid":{"rendered":"https:\/\/itexplore.org\/jp\/columns\/ai-trends-efficiency-development-personalization\/"},"modified":"2026-02-07T02:30:19","modified_gmt":"2026-02-06T17:30:19","slug":"ai-trends-efficiency-development-personalization","status":"publish","type":"post","link":"https:\/\/itexplore.org\/jp\/columns\/ai-trends-efficiency-development-personalization\/","title":{"rendered":"AI\u6280\u8853\u306e\u6700\u65b0\u52d5\u5411\uff1a\u52b9\u7387\u5316\u3001\u958b\u767a\u652f\u63f4\u3001\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba"},"content":{"rendered":"<p>\u672c\u65e5\u306e\u6ce8\u76eeAI\u30fb\u30c6\u30c3\u30af\u30cb\u30e5\u30fc\u30b9\u3092\u3001\u5c02\u9580\u7684\u306a\u5206\u6790\u3068\u5171\u306b\u304a\u5c4a\u3051\u3057\u307e\u3059\u3002<\/p>\n<div class=\"wp-block-vk-blocks-alert vk_alert alert alert-warning has-alert-icon\">\n<div class=\"vk_alert_icon\">\n<div class=\"vk_alert_icon_icon\"><i class=\"fa-solid fa-triangle-exclamation\" aria-hidden=\"true\"><\/i><\/div>\n<div class=\"vk_alert_icon_text\"><span>Warning<\/span><\/div>\n<\/div>\n<div class=\"vk_alert_content\">\n<p>\u3053\u306e\u8a18\u4e8b\u306fAI\u306b\u3088\u3063\u3066\u81ea\u52d5\u751f\u6210\u30fb\u5206\u6790\u3055\u308c\u305f\u3082\u306e\u3067\u3059\u3002AI\u306e\u6027\u8cea\u4e0a\u3001\u4e8b\u5b9f\u8aa4\u8a8d\u304c\u542b\u307e\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u91cd\u8981\u306a\u5224\u65ad\u3092\u4e0b\u3059\u969b\u306f\u5fc5\u305a\u30ea\u30f3\u30af\u5148\u306e\u4e00\u6b21\u30bd\u30fc\u30b9\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">\u5bfe\u79f0\u6027\u3092\u8003\u616e\u3057\u305f\u30c6\u30a4\u30e9\u30fc\u8fd1\u4f3c\u306b\u3088\u308b\u30c8\u30fc\u30af\u30f3\u3042\u305f\u308a\u306e\u5b9a\u6570\u30b3\u30b9\u30c8\u3067\u306e\u81ea\u5df1\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p>\u7814\u7a76\u8005\u305f\u3061\u306f\u3001Transformer\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u81ea\u5df1\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u306e\u8a08\u7b97\u30b3\u30b9\u30c8\u3092\u5927\u5e45\u306b\u524a\u6e1b\u3059\u308b\u65b0\u3057\u3044\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u624b\u6cd5\u306f\u3001\u5bfe\u79f0\u6027\u3092\u8003\u616e\u3057\u305f\u30c6\u30a4\u30e9\u30fc\u8fd1\u4f3c\u3092\u5229\u7528\u3057\u3066\u3001\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u9577\u306b\u95a2\u4fc2\u306a\u304f\u30c8\u30fc\u30af\u30f3\u3042\u305f\u308a\u306e\u5b9a\u6570\u30b3\u30b9\u30c8\u3092\u9054\u6210\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u6280\u8853\u306f\u3001\u6a19\u6e96\u7684\u306a\u81ea\u5df1\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u306e\u5b9a\u5f0f\u5316\u3092\u30c6\u30f3\u30bd\u30eb\u7a4d\u306e\u8868\u73fe\u306b\u5206\u89e3\u3057\u3001\u305d\u308c\u3089\u306e\u5bfe\u79f0\u6027\u3092\u5229\u7528\u3057\u3066\u30af\u30a8\u30ea\u3068\u30ad\u30fc\u3092\u6700\u5c0f\u306e\u591a\u9805\u5f0f\u30ab\u30fc\u30cd\u30eb\u7279\u5fb4\u57fa\u5e95\u306b\u30de\u30c3\u30d4\u30f3\u30b0\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30b3\u30b9\u30c8\u3068\u30d8\u30c3\u30c9\u30b5\u30a4\u30ba\u306e\u9593\u306b\u9006\u76f8\u95a2\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001\u30c8\u30fc\u30af\u30f3\u3042\u305f\u308a\u306e\u30d8\u30c3\u30c9\u6570\u3092\u5897\u3084\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u5b9f\u88c5\u306f\u7d4c\u9a13\u7684\u306b\u691c\u8a3c\u3055\u308c\u3066\u304a\u308a\u3001\u305d\u306e\u6b63\u78ba\u6027\u304c\u8a3c\u660e\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30d6\u30ec\u30fc\u30af\u30b9\u30eb\u30fc\u306f\u3001\u9069\u5ea6\u306a\u56fa\u5b9a\u30b3\u30b9\u30c8\u3067\u306e\u7121\u5236\u9650\u306e\u30c8\u30fc\u30af\u30f3\u751f\u6210\u3092\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u5927\u898f\u6a21Transformer\u30e2\u30c7\u30eb\u306e\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u3068\u30a8\u30cd\u30eb\u30ae\u30fc\u9700\u8981\u3092\u5927\u5e45\u306b\u524a\u6e1b\u3059\u308b\u3053\u3068\u3092\u7d04\u675f\u3057\u307e\u3059\u3002\u5c0e\u5165\u3055\u308c\u305f\u6570\u5b66\u7684\u6280\u8853\u3082\u72ec\u7acb\u3057\u305f\u95a2\u5fc3\u4e8b\u3068\u898b\u306a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/arxiv.org\/abs\/2602.00294\" target=\"_blank\" rel=\"noopener\">arXiv \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Introduces a significant advancement in Transformer model efficiency, enabling constant cost per token through a novel Taylor approximation method, with implications for reducing AI's environmental and infrastructural footprint.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Editorial Staff<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p>Researchers have developed a novel approach to self-attention in Transformer models that significantly reduces computational costs. This method achieves constant cost per token, regardless of context length, by leveraging a symmetry-aware Taylor approximation.<\/p>\n<p>The technique decomposes the standard self-attention formulation into tensor product expressions, exploiting their symmetry to map queries and keys to a minimal polynomial-kernel feature basis. This allows for an inverse relationship between cost and head size, enabling more heads per token.<\/p>\n<p>The implementation has been empirically validated, demonstrating its correctness. This breakthrough promises to substantially lower the infrastructure and energy demands of large-scale Transformer models by enabling unbounded token generation at a modest, fixed cost. The mathematical innovations introduced are also considered to be of independent interest.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Apple\u306eXcode\u306bAnthropic\u3068OpenAI\u306e\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u7d71\u5408\u3055\u308c\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c6\u30a3\u30c3\u30af\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u304c\u53ef\u80fd\u306b<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Agentic coding comes to Apple\u2019s Xcode with agents from Anthropic and OpenAI<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>Apple<\/strong>\u306f\u3001Xcode 26.3\u306e\u30ea\u30ea\u30fc\u30b9\u306b\u3088\u308a\u3001\u7d71\u5408\u958b\u767a\u74b0\u5883\uff08IDE\uff09\u3067\u3042\u308b<strong>Xcode<\/strong>\u306b<strong>AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8<\/strong>\u3092\u7d71\u5408\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u306f\u3001<strong>Anthropic<\/strong>\uff08Claude Agent\uff09\u3068<strong>OpenAI<\/strong>\uff08Codex\uff09\u306e\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u3053\u3068\u3067\u3001<strong>\u30a8\u30fc\u30b8\u30a7\u30f3\u30c6\u30a3\u30c3\u30af\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0<\/strong>\u6a5f\u80fd\u3092\u3082\u305f\u3089\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u3089\u306e\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u63a2\u7d22\u3001\u30b3\u30fc\u30c9\u69cb\u9020\u306e\u7406\u89e3\u3001\u30b3\u30fc\u30c9\u306e\u8a18\u8ff0\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30d3\u30eb\u30c9\u3001\u30c6\u30b9\u30c8\u306e\u5b9f\u884c\u3001\u4fee\u6b63\u306e\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3\u3068\u3044\u3063\u305f\u8907\u96d1\u306a\u958b\u767a\u30bf\u30b9\u30af\u3092\u81ea\u5f8b\u7684\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u305d\u308c\u3089\u306f\u900f\u660e\u6027\u3092\u6301\u3063\u3066\u52d5\u4f5c\u3057\u3001\u30a2\u30af\u30b7\u30e7\u30f3\u306e\u6bb5\u968e\u7684\u306a\u5185\u8a33\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u7d71\u5408\u306fModel Context Protocol\uff08MCP\uff09\u3092\u5229\u7528\u3057\u3066\u304a\u308a\u3001\u4e92\u63db\u6027\u306e\u3042\u308b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306fXcode\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u30c4\u30fc\u30eb\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u7ba1\u7406\u6a5f\u80fd\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><strong>Apple<\/strong>\u306f\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u3092\u901a\u3058\u3066\u3053\u306e\u65b0\u6a5f\u80fd\u3092\u7a4d\u6975\u7684\u306b\u63a8\u9032\u3057\u3066\u304a\u308a\u3001AI\u652f\u63f4\u958b\u767a\u306e\u6c11\u4e3b\u5316\u306b\u5411\u3051\u305f\u5927\u304d\u306a\u52d5\u304d\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u52d5\u304d\u306f\u3001AI\u4e3b\u5c0e\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u306e\u6210\u9577\u30c8\u30ec\u30f3\u30c9\u306b\u4e57\u308b\u305f\u3081\u306e<strong>Apple<\/strong>\u306e\u30dd\u30b8\u30b7\u30e7\u30f3\u3092\u78ba\u7acb\u3057\u3001\u5e83\u7bc4\u306a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u696d\u754c\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/02\/03\/agentic-coding-comes-to-apples-xcode-26-3-with-agents-from-anthropic-and-openai\/\" target=\"_blank\" rel=\"noopener\">DIGITIMES Asia \/ The Tech Buzz \/ The Neuron \/ Gadgets 360 \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Highlights the integration of advanced AI agents from Anthropic and OpenAI into Apple's Xcode, ushering in an era of 'agentic coding' and potentially transforming software development workflows.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Editorial Staff<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Apple<\/strong> has integrated <strong>AI agents<\/strong> into its integrated development environment (IDE), <strong>Xcode<\/strong>, with the release of Xcode 26.3. This update brings <strong>agentic coding<\/strong> capabilities by supporting agents from <strong>Anthropic<\/strong> (Claude Agent) and <strong>OpenAI<\/strong> (Codex).<\/p>\n<p>These agents can autonomously perform complex development tasks such as exploring projects, understanding code structure, writing code, building projects, running tests, and iterating on fixes. They operate with transparency, providing step-by-step breakdowns of their actions. The integration utilizes the Model Context Protocol (MCP), allowing any compatible agent to access Xcode's documentation, tools, and project management features.<\/p>\n<p><strong>Apple<\/strong> is actively promoting this new functionality with workshops, signaling a significant push towards democratizing AI-assisted development. This move positions <strong>Apple<\/strong> to capitalize on the growing trend of AI-driven software development, potentially impacting the broader software industry.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Accel\u3001Fibr AI\u3078\u306e\u8ffd\u52a0\u6295\u8cc7\u3092\u767a\u8868\uff1a\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u9759\u7684\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u30921\u5bfe1\u306e\u4f53\u9a13\u306b\u5909\u63db<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Accel doubles down on Fibr AI as agents turn static websites into one-to-one experiences<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>Fibr AI<\/strong>\u306f\u3001\u9759\u7684\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u3092AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u4f7f\u7528\u3057\u3066\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f1\u5bfe1\u306e\u4f53\u9a13\u306b\u5909\u63db\u3059\u308b\u80fd\u529b\u306b\u5bfe\u3059\u308b\u6295\u8cc7\u5bb6\u306e\u5f37\u3044\u4fe1\u983c\u3092\u793a\u3059\u3001<strong>Accel<\/strong>\u304b\u3089\u306e\u8ffd\u52a0\u8cc7\u91d1\u3092\u78ba\u4fdd\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u540c\u793e\u306e\u6280\u8853\u306f\u3001AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u6d3b\u7528\u3057\u3066\u3001\u500b\u3005\u306e\u30e6\u30fc\u30b6\u30fc\u30c7\u30fc\u30bf\u3068\u884c\u52d5\u306b\u57fa\u3065\u3044\u3066\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u3068\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u3092\u52d5\u7684\u306b\u9069\u5fdc\u3055\u305b\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u4f01\u696d\u306f\u9ad8\u5ea6\u306b\u8abf\u6574\u3055\u308c\u305f\u30e6\u30fc\u30b6\u30fc\u4f53\u9a13\u3092\u4f5c\u6210\u3057\u3001\u4e00\u822c\u7684\u306a\u30a6\u30a7\u30d6\u30d7\u30ec\u30bc\u30f3\u30b9\u3092\u8d85\u3048\u3066\u3001\u6df1\u304f\u9b45\u529b\u7684\u3067\u95a2\u9023\u6027\u306e\u9ad8\u3044\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u63d0\u4f9b\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u6295\u8cc7\u306f\u3001<strong>Fibr AI<\/strong>\u306e\u88fd\u54c1\u958b\u767a\u3068\u5e02\u5834\u62e1\u5927\u3092\u52a0\u901f\u3055\u305b\u3001AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u30c7\u30b8\u30bf\u30eb\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u3092\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3057\u3001\u9867\u5ba2\u30a8\u30f3\u30b2\u30fc\u30b8\u30e1\u30f3\u30c8\u3092\u5f37\u5316\u3059\u308b\u3068\u3044\u3046\u30c8\u30ec\u30f3\u30c9\u3092\u3055\u3089\u306b\u5f37\u5316\u3059\u308b\u3068\u4e88\u60f3\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/02\/04\/accel-doubles-down-on-fibr-ai-as-agents-turn-static-websites-into-one-to-one-experiences\/\" target=\"_blank\" rel=\"noopener\">TechCrunch \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Demonstrates the growing investment and application of AI agents in creating personalized web experiences, with Fibr AI's success indicating a strong market demand for dynamic, one-to-one digital interactions.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Jagmeet Singh<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Fibr AI<\/strong> has secured additional funding from <strong>Accel<\/strong>, signaling strong investor confidence in its ability to transform static websites into personalized, one-to-one experiences using AI agents.<\/p>\n<p>The company's technology leverages AI agents to dynamically adapt website content and interactions based on individual user data and behavior. This allows businesses to create highly tailored user journeys, moving beyond generic web presences to deliver deeply engaging and relevant content.<\/p>\n<p>This investment is expected to accelerate <strong>Fibr AI<\/strong>'s product development and market expansion, further solidifying the trend of AI agents personalizing digital interactions and enhancing customer engagement.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Transformer\u30e2\u30c7\u30eb\u306e\u52b9\u7387\u5316\u3001Xcode\u3078\u306eAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u7d71\u5408\u3001\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u306e\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u306a\u3069\u3001\u6700\u65b0\u306eAI\u6280\u8853\u52d5\u5411\u3092\u6df1\u6398\u308a\u3057\u307e\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":854,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"vkexunit_cta_each_option":"","footnotes":""},"categories":[3],"tags":[8,17,149,148,34,15,147],"class_list":{"0":"post-919","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-columns","8":"tag-ai","10":"tag-transformer","11":"tag-148","12":"tag-34","14":"tag-147"},"_links":{"self":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/919","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/comments?post=919"}],"version-history":[{"count":0,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/919\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media\/854"}],"wp:attachment":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media?parent=919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/categories?post=919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/tags?post=919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}