{"id":354,"date":"2025-11-14T14:15:18","date_gmt":"2025-11-14T14:15:18","guid":{"rendered":"https:\/\/blogs.imperial.ac.uk\/the-forum\/?p=354"},"modified":"2025-11-25T16:43:35","modified_gmt":"2025-11-25T16:43:35","slug":"ai-robotics-and-the-future-of-discovery-insights-from-evidence-week-in-parliament","status":"publish","type":"post","link":"https:\/\/blogs.imperial.ac.uk\/the-forum\/2025\/11\/14\/ai-robotics-and-the-future-of-discovery-insights-from-evidence-week-in-parliament\/","title":{"rendered":"AI, Robotics, and the Future of Discovery: Insights from Evidence Week in Parliament"},"content":{"rendered":"<h3><b><span data-contrast=\"auto\">Imperial\u2019s Dr Sam Cooper briefs\u00a0Parliamentarians\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">From climate modelling to drug discovery,\u00a0AI\u00a0is reshaping\u00a0science\u00a0by accelerating data analysis, enhancing modelling, and introducing new forms of automated discovery.\u00a0With\u00a0the UK government\u00a0expected to publish an\u00a0AI for\u00a0science\u00a0strategy\u00a0imminently, this year\u2019s\u00a0<\/span><a href=\"https:\/\/senseaboutscience.org\/evidence-week\/\"><b><span data-contrast=\"none\">Evidence Week<\/span><\/b><\/a><span data-contrast=\"auto\">\u00a0was\u00a0an opportune time to\u00a0meet with Parliamentarians to discuss\u00a0what\u00a0policies and investment is\u00a0needed to accelerate AI-enabled\u00a0scientific\u00a0discovery in the UK.\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Evidence Week\u202fis the flagship annual science engagement event of the charity Sense About Science. The week is built around a series of events designed to bridge the gap between scientific research, the policymaking\u00a0process\u00a0and the public.\u00a0At this year\u2019s event,\u00a0<\/span><b><span data-contrast=\"auto\">Dr Sam Cooper<\/span><\/b><span data-contrast=\"auto\">, Associate Professor of Artificial Intelligence for Materials Design,\u00a0took his team to Westminster to brief Parliamentarians on\u00a0how AI and robotic laboratories can reshape the UK\u2019s innovation landscape and accelerate progress in clean energy and advanced materials.<\/span><\/p>\n<h3><span data-contrast=\"none\">Three key takeaways<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<ul>\n<li data-leveltext=\"\u2022\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u2022&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"0\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">LLMs can accelerate and unify exploration across scientific domains.\u00a0<\/span><\/b>In<a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2024\/dd\/d4dd00074a\"> a 2024 paper<\/a> Dr Cooper and colleagues found that Large Language Models (LLMs) can extract experimental parameters and insights from scientific literature with up to 90% accuracy, reducing the manual burden on researchers and accelerating hypothesis generation. <span data-ccp-props=\"{&quot;335559685&quot;:720}\"><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/span>\n<p><figure id=\"attachment_379\" aria-describedby=\"caption-attachment-379\" style=\"width: 564px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"564\" height=\"278\" class=\"wp-image-379 size-full\" src=\"https:\/\/blogs.imperial.ac.uk\/the-forum\/files\/2025\/11\/Screenshot-45.png\" alt=\"\" \/><figcaption id=\"caption-attachment-379\" class=\"wp-caption-text\">Diagram of LLM capabilities and potential materials-science related applications as seen in G. Lei\u202f,\u202fR. Docherty\u202fand\u202fS. J. Cooper\u202f, Materials science in the era of large language models: a perspective,\u202fDigital Discovery, 2024,\u202f3\u202f, 1257 \u20141272 https:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2024\/dd\/d4dd00074a<\/figcaption><\/figure><\/li>\n<li data-leveltext=\"\u2022\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u2022&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"0\" data-aria-level=\"1\"><strong><span class=\"TextRun SCXW208968376 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW208968376 BCX0\">Combining <\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">AI\u00a0<\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">with<\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">\u00a0robotics\u00a0<\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">is<\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">\u00a0key to solving the reproducibility crisis in science.<\/span><\/span><\/strong><span class=\"TextRun SCXW208968376 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW208968376 BCX0\">\u00a0Traditional lab work is slow,\u00a0<\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">inconsistent<\/span><span class=\"NormalTextRun SCXW208968376 BCX0\">\u00a0and hard to reproduce. Automated labs like Imperial\u2019s\u00a0<\/span><\/span><a class=\"Hyperlink SCXW208968376 BCX0\" href=\"https:\/\/www.imperial.ac.uk\/digibat\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW208968376 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW208968376 BCX0\" data-ccp-charstyle=\"Hyperlink\">DIGIBAT<\/span><\/span><\/a><span class=\"TextRun SCXW208968376 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW208968376 BCX0\">\u00a0project generate reliable, high-quality datasets that allow AI models to test and learn faster\u2014making science more trustworthy and efficient.<\/span><\/span><span class=\"EOP SCXW208968376 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\u2022\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u2022&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"0\" data-aria-level=\"1\"><strong><span class=\"TextRun SCXW244193114 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW244193114 BCX0\">Infrastructure investment is vital to stay competitive.<\/span><\/span><\/strong><span class=\"TextRun SCXW244193114 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW244193114 BCX0\"><strong>\u00a0<\/strong>Large language models (LLMs) and other AI systems can revolutionise materials R&amp;D, but only if\u00a0<\/span><span class=\"NormalTextRun SCXW244193114 BCX0\">they\u2019re<\/span><span class=\"NormalTextRun SCXW244193114 BCX0\">\u00a0trained on data produced by automated labs. Public investment in compute, robotics and open data will help the UK remain a global leader in frontier science.<\/span><\/span><span class=\"EOP SCXW244193114 BCX0\" data-ccp-props=\"{}\"><span class=\"EOP SCXW244193114 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li>\n<\/ul>\n<h3><span data-contrast=\"none\">From research to policy<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Dr Cooper\u2019s discussion with\u00a0Parliamentarians\u00a0focused on how policymakers can create the right environment for responsible AI-enabled science. He outlined three priority actions:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Fund national-scale robotic science facilities.<\/span><\/b><span data-contrast=\"auto\">\u00a0Treat high-throughput automated labs as critical infrastructure\u2014on par with supercomputers or particle accelerators\u2014to generate the reproducible datasets that drive innovation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Establish a UK-wide materials data platform.<\/span><\/b><span data-contrast=\"auto\">\u00a0Develop open, standardised databases so that data from robotic labs can be shared,\u00a0reused\u00a0and used to train AI models across academia and industry.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Expand AI talent pipelines.<\/span><\/b><span data-contrast=\"auto\">\u00a0Support doctoral programmes, cross-sector apprenticeships and retraining initiatives that blend materials science, machine\u00a0learning\u00a0and automation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n<h3><span data-contrast=\"none\">Real-world impact<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Automating the design, execution and analysis of experiments can compress research cycles from months to weeks. By pairing robotics with AI, scientists can explore thousands of potential materials faster and more reliably accelerating breakthroughs in batteries, catalysts and sustainable manufacturing.<\/span><\/p>\n<p><span data-contrast=\"auto\">In\u00a02024\u00a0Dr Cooper\u00a0spun-out\u00a0a company\u00a0from Imperial.\u00a0<\/span><a href=\"https:\/\/www.imperial.ac.uk\/news\/262193\/imperial-ai-spinout-polaron-wins-million\/\"><span data-contrast=\"none\">Polaron<\/span><\/a><span data-contrast=\"auto\">\u00a0uses generative A.I. to design and optimise the microstructure of materials (such as battery electrodes) \u2014 enabling manufacturers to explore thousands of variants in days instead of years.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Polaron\u2019s\u00a0models have shown over a 10 % boost in battery energy density, and their technology is also finding application in pharmaceuticals, composites for wind turbines, alloys for jet-engines and even food-texture\u00a0optimisation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<figure id=\"attachment_355\" aria-describedby=\"caption-attachment-355\" style=\"width: 300px\" class=\"wp-caption alignleft\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"225\" class=\"wp-image-355 size-medium\" src=\"https:\/\/blogs.imperial.ac.uk\/the-forum\/files\/2025\/11\/Image-29-300x225.jpg\" alt=\"\" \/><figcaption id=\"caption-attachment-355\" class=\"wp-caption-text\">Dr Sam Cooper speaking with Lord Clement-Jones (far left) at Evidence Week in Westminster. Lord Clement Jones is Co-Chair of the APPG on AI.<\/figcaption><\/figure>\n<h3><span data-contrast=\"none\">Looking ahead<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">It was fantastic to hear Parliamentarians\u00a0ask\u00a0thoughtful\u00a0questions about access to facilities, data sharing and how regulatory frameworks should adapt to AI-driven experimental work.\u00a0Parliament\u00a0will continue to play a crucial\u00a0role\u00a0scrutinising\u00a0whether the UK government\u2019s actions are realising\u00a0the potential of the UK\u2019s existing strengths in AI for science.\u00a0\u00a0By acting now\u2014through\u00a0establishing\u00a0national facilities, open data\u00a0infrastructure\u00a0and talent programmes\u2014the UK can secure its position as a world leader in\u00a0AI for Science\u00a0and deliver the materials and technologies that underpin a sustainable future.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To learn more about how AI is revolutionising scientific discovery across Imperial, please contact <a href=\"mailto:g.woodhams@imperial.ac.uk\">George Woodhams<\/a>. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Imperial\u2019s Dr Sam Cooper briefs\u00a0Parliamentarians\u00a0\u00a0 From climate modelling to drug discovery,\u00a0AI\u00a0is reshaping\u00a0science\u00a0by accelerating data analysis, enhancing modelling, and introducing new forms of automated discovery.\u00a0With\u00a0the UK government\u00a0expected to publish an\u00a0AI for\u00a0science\u00a0strategy\u00a0imminently, this year\u2019s\u00a0Evidence Week\u00a0was\u00a0an opportune time to\u00a0meet with Parliamentarians to discuss\u00a0what\u00a0policies and investment is\u00a0needed to accelerate AI-enabled\u00a0scientific\u00a0discovery in the UK.\u00a0 Evidence Week\u202fis the flagship annual science [&hellip;]<\/p>\n","protected":false},"author":1895,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[301898],"tags":[301899],"class_list":["post-354","post","type-post","status-publish","format-standard","hentry","category-imperial-policy-forum","tag-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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