{"id":52372,"date":"2026-04-23T11:26:51","date_gmt":"2026-04-23T03:26:51","guid":{"rendered":"https:\/\/www.1ai.net\/?p=52372"},"modified":"2026-04-23T11:49:43","modified_gmt":"2026-04-23T03:49:43","slug":"%e8%b0%b7%e6%ad%8c%ef%bc%9a%e7%9b%ae%e5%89%8d%e5%85%ac%e5%8f%b8%e5%86%85%e9%83%a8-75-%e7%9a%84%e6%96%b0%e4%bb%a3%e7%a0%81%e7%94%b1-ai-%e7%94%9f%e6%88%90","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/52372.html","title":{"rendered":"Google releases Gemini 3.1 Pro deep research intelligence that connects proprietary data sources to generate professional charts"},"content":{"rendered":"<p>April 23rd.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"[View articles tagged with [Google]]\" target=\"_blank\" >Google<\/a>(April 21st)<strong>Declares to upgrade its autonomous research<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%99%ba%e8%83%bd%e4%bd%93\" title=\"[View articles tagged with [intelligent body]]\" target=\"_blank\" >Agent<\/a>, roll Deep Research and Deep Research Max<\/strong>based on <a href=\"https:\/\/www.1ai.net\/en\/tag\/gemini\" title=\"[View articles tagged with [Gemini]]\" target=\"_blank\" >Gemini<\/a> 3.1 Pro modeling to transform an intelligent body from a complex summary engine to a basic component of an enterprise-level workflow\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-52396\" title=\"0d01ab0ej00txh3v004cd000v90hkp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/0d01ab0ej00tdxh3v004cd000v900hkp.jpg\" alt=\"0d01ab0ej00txh3v004cd000v90hkp\" width=\"1125\" height=\"632\" \/><\/p>\n<p>1AI refers to the presentation that Deep Research smarts apply to interactive user scenes, balancing the optimization of speed and efficiency; while Deep Research Max is suitable for a different backstage workflow, such as the generation of detailed due diligence reports, seeking extreme comprehensiveness and the highest quality combination and using extended testing to calculate iterative reasoning, search and refinement\u3002<\/p>\n<p>Both smart bodies are based on Gemini 3.1 Pro and the core breakthrough is to expand data sources and outputs to search networks, any remote MCP server, upload files and connected file storage\u3002<\/p>\n<p>THROUGH MCP, USERS ARE ABLE TO SAFELY CONNECT INTELLIGENT BODIES TO SPECIALIZED DATA STREAMS, SUCH AS FINANCIAL OR MARKET DATA, SO THAT THEY CAN MOVE FROM A WEB SEARCHER TO AN AUTONOMOUS INTELLIGENCE THAT CAN NAVIGATE ANY PROFESSIONAL DATABASE. IN TERMS OF OUTPUT, FOR THE FIRST TIME A SMART BODY CAN GENERATE HIGH-QUALITY GRAPHS AND INFORMATION<strong>Dynamic visualization of complex data\u3002<\/strong><\/p>\n<p>In terms of process control and transparency, new functions include collaborative planning, extended tool sets, a multi-modular research base and real-time current output. Users can review, direct and optimize research programmes generated by intelligent bodies before implementation, and use multiple tools such as Google Search, remote MCP server, code execution, etc\u3002<\/p>\n<p>refer to<\/p>\n<ul>\n<li><a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/next-generation-gemini-deep-research\/\">Deep Research Max: a step change for autonomous research policies<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>On April 23rd, Google (21st of April) published an article announcing the upgrading of its autonomous research intelligence, and the launch of Deep Research and Deep Research Max, based on the Gemini 3.1 Pro model, to transform it from a complex summary engine to a basic component of an enterprise-level workflow. 1AI refers to the introduction that Deep Research smarts apply to interactive user scenes to balance optimized speed and efficiency; while Deep Research Max is suitable for a different backstage workflows, such as the generation of detailed due diligence reports, in pursuit of extreme comprehensiveness and the highest quality combination, using extended testing to calculate iterative reasoning, search and refinement<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[436,1355,281],"collection":[],"class_list":["post-52372","post","type-post","status-publish","format-standard","hentry","category-news","tag-gemini","tag-1355","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/52372","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=52372"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/52372\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=52372"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=52372"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=52372"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=52372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}