{"id":893991,"date":"2022-11-07T00:14:41","date_gmt":"2022-11-07T08:14:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2026-02-09T20:34:40","modified_gmt":"2026-02-10T04:34:40","slug":"msr-asia-industry-innovation-center","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/msr-asia-industry-innovation-center\/","title":{"rendered":"MSR Asia Industry Innovation Center"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background-catalina-blue card-background--full-bleed\">\n\t\t\t\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"msr-asia-industry-innovation-center\">MSR Asia Industry Innovation Center<\/h1>\n\n\n\n<p><\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>Built on Microsoft Research Asia\u2019s more than two-decade advanced research and technology transfer foundation, Industry Innovation Center is staffed with a group of world-class researchers and applied scientists, with the mission to tackle real-world hard problems and demonstrate our thought leadership in key industries using innovative technologies. In partnership with industry leaders, the center focuses on inventing cutting-edge machine learning algorithms for intelligent prediction, decision optimization, anomaly detection and digital simulation, to address key challenges of financial industry, supply chain, energy transformation and healthcare, etc.&nbsp;<\/p>\n\n\n\n<p>During the past five years, MSR Asia has established strong partnership with leading companies in important industrial sectors, acquired valuable domain know-hows, developed breakthrough technologies and open-source tools (Qlib, MARO, FOST, BatteryML) for key industry scenarios with real deployment and significant business values.&nbsp;&nbsp;<\/p>\n\n\n\n<p>\u4ea7\u4e1a\u521b\u65b0\u4e2d\u5fc3\u4ee5\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u524d\u6cbf\u7814\u7a76\u4e0e\u6280\u672f\u8f6c\u5316\u7684\u4e30\u7855\u6210\u679c\u4e0e\u4e30\u5bcc\u7ecf\u9a8c\u4e3a\u57fa\u77f3\uff0c\u805a\u96c6\u4e00\u6279\u65e2\u64c5\u957f\u6280\u672f\u521b\u65b0\u53c8\u5177\u5907\u884c\u4e1a\u77e5\u8bc6\u7684\u201c\u63a5\u5730\u6c14\u201d\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\uff0c\u91cd\u70b9\u5e03\u5c40\u667a\u80fd\u9884\u6d4b\u3001\u51b3\u7b56\u4f18\u5316\u3001\u5f02\u5e38\u68c0\u6d4b\u3001\u6570\u5b57\u4eff\u771f\u7b49\u524d\u6cbf\u6280\u672f\u7814\u7a76\uff0c\u805a\u7126\u667a\u80fd\u91d1\u878d\u3001\u4f9b\u5e94\u94fe\u4f18\u5316\u3001\u80fd\u6e90\u8f6c\u578b\u3001\u533b\u7597\u5065\u5eb7\u7b49\u4ea7\u4e1a\u6838\u5fc3\u9700\u6c42\uff0c\u81f4\u529b\u4e8e\u53d1\u5c55\u4e0e\u4f01\u4e1a\u7684\u6218\u7565\u5408\u4f5c\uff0c\u9762\u5411\u771f\u5b9e\u4e16\u754c\u5173\u952e\u573a\u666f\uff0c\u901a\u8fc7\u8054\u5408\u6280\u672f\u521b\u65b0\uff0c\u5b9e\u73b0\u5171\u540c\u53d1\u5c55\uff0c\u5f15\u9886\u4ea7\u4e1a\u672a\u6765\u3002<\/p>\n\n\n\n<div class=\"wp-block-group has-lighter-gray-background-color has-background is-layout-flow wp-block-group-is-layout-flow\" style=\"padding-top:20px;padding-right:0px;padding-bottom:10px;padding-left:0px\">\n<h3 class=\"wp-block-heading has-text-align-center\" id=\"co-innovation-to-unlock-the-power-of-ai-for-digital-transformation\">Co-Innovation to Unlock the Power of AI for Digital Transformation\u200b<\/h3>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Finance\u200b<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Quantitative investment\u200b<\/li>\n\n\n\n<li>Market simulation\u200b<\/li>\n\n\n\n<li>Financial fraud and crime&nbsp;detection\u200b<\/li>\n\n\n\n<li>Privacy&nbsp;protection&nbsp;<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Manufacturing\u200b<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Production scheduling\u200b<\/li>\n\n\n\n<li>Control optimization\u200b<\/li>\n\n\n\n<li>Defect detection\u200b<\/li>\n\n\n\n<li>Predictive maintenance<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Energy<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Smart HVAC control\u200b<\/li>\n\n\n\n<li>Battery cycle life prediction\u200b<\/li>\n\n\n\n<li>Micro-grid optimization\u200b<\/li>\n\n\n\n<li>Windfarm optimization\u200b<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Health\u200b<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Health prediction&nbsp;\u200b<\/li>\n\n\n\n<li>Patient risk stratification\u200b<\/li>\n\n\n\n<li>Surgery effect estimation\u200b<\/li>\n\n\n\n<li>Medical image assessment\u200b<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Supply-chain\u200b<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Demand forecasting\u200b<\/li>\n\n\n\n<li>Supply chain simulation\u200b<\/li>\n\n\n\n<li>Resource optimization\u200b<\/li>\n\n\n\n<li>Dynamic routing<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<p><\/p>\n<\/div>\n\n\n\n<p><strong>Collaboration opportunities:&nbsp;<br><\/strong>MSR Asia Industry Innovation Center welcomes industry partners to join our co-innovation journey to unlock the power of AI for digital transformation. If you are interested in working with us, please contact us at <a href=\"mailto:msraip@microsoft.com\" target=\"_blank\" rel=\"noreferrer noopener\">msraip@microsoft.com<\/a><\/p>\n\n\n\n\n\n<h3 class=\"wp-block-heading\" id=\"qlib\">Qlib<\/h3>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/qlib-an-ai-oriented-quantitative-investment-platform\/\" target=\"_blank\" rel=\"noreferrer noopener\">QLib<\/a>\u202fis an AI-oriented quantitative investment platform which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. It contains the full ML pipeline of data processing, model training, back-testing\u2014and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution. We aim to establish QLib as a viable quant research framework in capital markets, and a platform on which we can introduce further research in AI models for capital markets. In doing so, we will support quant use cases in ESG sustainability for capital markets.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"maro\">MARO&nbsp;<\/h3>\n\n\n\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/maro\" target=\"_blank\" rel=\"noopener noreferrer\">MARO<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Multi-Agent Resource Optimization) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"fost\">FOST&nbsp;<\/h3>\n\n\n\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/FOST\" target=\"_blank\" rel=\"noopener noreferrer\">FOST<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Forecasting Open Source Tool)\u202fis a general forecasting tool, which demonstrates our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. The users only need to organize their data into a certain format and then get the prediction results with one command. FOST automatically handles the missing and abnormal values, and captures both spatial and temporal correlations efficiently.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"batteryml\">BatteryML<\/h3>\n\n\n\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/github.com\/microsoft\/BatteryML\">BatteryML<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> is an open-source tool for machine learning on battery degradation. The performance degradation of lithium batteries is a complex electrochemical process, involving factors such as the growth of solid electrolyte interface, lithium precipitation, loss of active materials, etc. Therefore, effectively analyzing and predicting the performance degradation of lithium batteries to provide guidance for early prevention and intervention has become a crucial research topic. We hope BatteryML can empower both battery researchers and data scientists to gain deeper insights from battery degradation data and build more powerful models for accurate predictions and early interventions.<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Built on Microsoft Research Asia\u2019s more than two-decade advanced research and technology transfer foundation, Industry Innovation Center is staffed with a group of world-class researchers and applied scientists, with the mission to tackle real-world hard problems and demonstrate our thought leadership in key industries using innovative technologies. In partnership with industry leaders, the center focuses [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-893991","msr-group","type-msr-group","status-publish","hentry","msr-research-area-artificial-intelligence","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199560,1012650],"related-researchers":[{"type":"user_nicename","display_name":"Fred Jiang","user_id":31791,"people_section":"Section name 0","alias":"fefjiang"},{"type":"user_nicename","display_name":"Weiqing Liu","user_id":39300,"people_section":"Section name 0","alias":"weiqiliu"},{"type":"user_nicename","display_name":"Kangping Liu","user_id":32482,"people_section":"Section name 0","alias":"kangpinl"},{"type":"user_nicename","display_name":"Chang Xu","user_id":41107,"people_section":"Section name 0","alias":"chanx"},{"type":"user_nicename","display_name":"Xianliang Yang","user_id":41170,"people_section":"Section name 0","alias":"xianya"}],"related-publications":[1051662],"related-downloads":[],"related-videos":[],"related-projects":[],"related-events":[],"related-opportunities":[],"related-posts":[1054791,1154225],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/893991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":34,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/893991\/revisions"}],"predecessor-version":[{"id":1153463,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/893991\/revisions\/1153463"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=893991"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=893991"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=893991"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=893991"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=893991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}