{"id":5073,"date":"2026-03-30T14:55:23","date_gmt":"2026-03-30T11:55:23","guid":{"rendered":"https:\/\/altanet.ro\/?p=5073"},"modified":"2026-04-14T13:59:18","modified_gmt":"2026-04-14T10:59:18","slug":"ai-in-stiinta-2026-cercetare-laborator","status":"publish","type":"post","link":"https:\/\/altanet.ro\/en\/2026\/03\/30\/ai-in-stiinta-2026-cercetare-laborator\/","title":{"rendered":"AI in science: The lab assistant who doesn&#039;t sleep and doesn&#039;t make mistakes"},"content":{"rendered":"<p>Scientific research has always been a slow process. A new hypothesis, experiments repeated dozens of times, data analysis, publication, verification by other researchers \u2013 a cycle that could take years. In 2026, AI entered the lab and fundamentally changed this equation. At <strong>Altanet Craiova<\/strong> We believe this is one of the most valuable contributions of artificial intelligence \u2013 not because it replaces scientists, but because it enormously amplifies their ability to discover new things.<\/p>\n<h2><span style=\"color: #0088cc;\"><strong>What does AI do in the lab?<\/strong><\/span><\/h2>\n<p>Peter Lee from <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/\" target=\"_blank\" rel=\"noopener\">Microsoft Research<\/a> best describes the new reality: <em>\u201e&quot;AI will generate hypotheses, control experiments, and collaborate with AI peers.&quot;\u201d<\/em> It&#039;s not a vision of the distant future \u2013 it&#039;s a description of what&#039;s already happening in 2026.<\/p>\n<p>Specifically, AI is used in research for four main types of tasks:<\/p>\n<ul>\n<li><strong>Generating hypotheses:<\/strong> The model analyzes thousands of published studies and proposes connections or research directions that a human would have missed or would have taken years to identify.<\/li>\n<li><strong>Design of experiments:<\/strong> AI suggests the most efficient protocol \u2013 that is, the work plan \u2013 to test a hypothesis, reducing waste of time and resources.<\/li>\n<li><strong>Data analysis:<\/strong> Huge amounts of experimental data are processed in minutes, not weeks.<\/li>\n<li><strong>Literature review:<\/strong> Instead of reading hundreds of articles, AI synthesizes them and presents you with what the scientific world knows about a topic, updated in real time.<\/li>\n<\/ul>\n<h2><strong>An example that shows real power: 79 times faster<\/strong><\/h2>\n<p><a href=\"https:\/\/openai.com\/gpt-5\" target=\"_blank\" rel=\"noopener\">GPT-5<\/a> was tested on molecular cloning protocols \u2013 a complex laboratory process with dozens of interdependent steps, where a mistake in one step affects everything that follows. The result was amazing: the AI compressed weeks of laboratory work into a few hours, with a 79-fold efficiency improvement over the classic method.<\/p>\n<p>This is not an isolated case. <a href=\"https:\/\/www.mit.edu\" target=\"_blank\" rel=\"noopener\">MYTH<\/a> developed AI models to understand how proteins \u2013 the molecules that make life possible \u2013 fold into three-dimensional structures. <a href=\"https:\/\/www.hawaii.edu\" target=\"_blank\" rel=\"noopener\">University of Hawaii<\/a> created an AI system that incorporates laws of physics directly into the learning process, achieving more accurate results in simulating natural phenomena.<\/p>\n<h2><strong>In which scientific fields is AI already present?<\/strong><\/h2>\n<p>The graph below shows the level of use of AI in the main areas of scientific research:<\/p>\n<p><!-- GRAFIC: Utilizarea AI in cercetarea stiintifica pe domenii | CSS-only, fara JavaScript --><\/p>\n<div style=\"font-family:Arial,sans-serif;padding:20px 24px;background:#f8f9fa;border-radius:8px;margin:24px 0;border:1px solid #e2e8f0;\">\n<div style=\"font-size:16px;font-weight:700;color:#1a202c;margin-bottom:4px;\">Use of AI in scientific research by field \u2013 2026<\/div>\n<div style=\"font-size:13px;color:#718096;margin-bottom:20px;\">Percentage of labs in each field actively using AI<\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:190px;text-align:right;flex-shrink:0;\">Molecular biology<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:82%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">82%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:190px;text-align:right;flex-shrink:0;\">Drug discovery<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:78%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">78%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:190px;text-align:right;flex-shrink:0;\">Physics and astrophysics<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:65%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">65%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:190px;text-align:right;flex-shrink:0;\">Materials science<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:60%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">60%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:190px;text-align:right;flex-shrink:0;\">Climatology<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:55%;background:#85B7EB;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">55%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:190px;text-align:right;flex-shrink:0;\">Social sciences<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:38%;background:#85B7EB;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">38%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;gap:20px;margin-top:16px;\">\n<div style=\"display:flex;align-items:center;gap:6px;font-size:12px;color:#718096;\">\n<div style=\"width:12px;height:12px;border-radius:3px;background:#185FA5;flex-shrink:0;\"><\/div>\n<p>Active use\n    <\/p><\/div>\n<div style=\"display:flex;align-items:center;gap:6px;font-size:12px;color:#718096;\">\n<div style=\"width:12px;height:12px;border-radius:3px;background:#85B7EB;flex-shrink:0;\"><\/div>\n<p>Growing\n    <\/p><\/div><\/div>\n<div style=\"font-size:11px;color:#a0aec0;margin-top:16px;\">Sources: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/\" target=\"_blank\" rel=\"noopener\" style=\"color:#a0aec0;\">Microsoft Research<\/a>, <a href=\"https:\/\/www.mit.edu\" target=\"_blank\" rel=\"noopener\" style=\"color:#a0aec0;\">MYTH<\/a>, <a href=\"https:\/\/www.nature.com\" target=\"_blank\" rel=\"noopener\" style=\"color:#a0aec0;\">naturally<\/a> \u2013 2026 estimates<\/div>\n<\/div>\n<p><!-- END GRAFIC Altanet --><\/p>\n<h2><strong>A surprising case: video games as training for robotics<\/strong><\/h2>\n<p><a href=\"https:\/\/www.nvidia.com\" target=\"_blank\" rel=\"noopener\">NVIDIA<\/a> developed a system called NitroGen that trained AI on at least 1,000 video games. The goal wasn&#039;t entertainment, but learning movement and coordination skills that could then be transferred to physical robots. It&#039;s an example of how unexpected directions scientific progress can take when AI is involved.<\/p>\n<h3><strong>What does this mean beyond the labs?<\/strong><\/h3>\n<p>Accelerating scientific research isn&#039;t just good news for scientists. It means faster drug discovery, stronger and lighter materials for industry, better solutions to climate change, and more accessible medical technologies. The benefits eventually reach each of us.<\/p>\n<h3><strong>What&#039;s next?<\/strong><\/h3>\n<p>Estimates suggest that by 2028, every major laboratory in the world will have a permanent AI assistant. The pace of scientific discovery will accelerate by an order of magnitude\u201410 times faster than today. This is no exaggeration: it is a logical consequence of the fact that AI can process and connect information at a speed that no human can match.<\/p>\n<p>If you work in research, education or a field where scientific innovation matters, the team <strong>Altanet Craiova<\/strong> follow these developments and can help you understand what AI tools are already available to you. Visit our page <a href=\"https:\/\/altanet.ro\/en\/contact\/\">contact<\/a> and let&#039;s discuss.<\/p>\n<hr \/>\n<p><em>This article is part of Altanet&#039;s series on AI trends in 2026. Next article: <a href=\"https:\/\/altanet.ro\/en\/2026\/03\/30\/calculator-cuantic-ai-2026-quantum\/\">Quantum AI: When the quantum computer first surpasses classical limits<\/a>. See also <a href=\"https:\/\/altanet.ro\/en\/2026\/03\/30\/tendinte-ai-2026-ghid-complet\/\">the complete guide to the series<\/a>.<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>AI in science 2026: weeks of work compressed into hours. Find out what artificial intelligence actually does in a real lab.<\/p>","protected":false},"author":2,"featured_media":5076,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[228],"tags":[370],"class_list":["post-5073","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-inteligenta-artificiala","tag-aistiinta-cercetareai-biologiemoleculara-microsoftresearch-altanetcraiova-tehnologie2026"],"featured_image_src":{"landsacpe":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/ai-in-stiinta-asistentul-de-laborator-care-nu-doarme-si-nu-greseste-calcule-v2-1140x445.webp",1140,445,true],"list":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/ai-in-stiinta-asistentul-de-laborator-care-nu-doarme-si-nu-greseste-calcule-v2-463x348.webp",463,348,true],"medium":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/ai-in-stiinta-asistentul-de-laborator-care-nu-doarme-si-nu-greseste-calcule-v2-300x164.webp",300,164,true],"full":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/ai-in-stiinta-asistentul-de-laborator-care-nu-doarme-si-nu-greseste-calcule-v2-scaled.webp",2560,1396,false]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI in stiinta 2026: Cercetare de 79 de ori mai rapida<\/title>\n<meta name=\"description\" content=\"AI in stiinta 2026: saptamani de munca comprimate in ore. 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