{"id":793670,"date":"2024-07-09T16:12:12","date_gmt":"2024-07-09T23:12:12","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&p=793670"},"modified":"2024-11-19T18:20:10","modified_gmt":"2024-11-20T02:20:10","slug":"m365-research","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/m365-research\/","title":{"rendered":"M365 Research"},"content":{"rendered":"
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M365 Research<\/h1>\n\n\n\n

Pioneering advancements in AI and systems<\/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\n\n

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Our research<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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M365 Research, consisting of over 40 researchers globally, is at the forefront of AI and systems research, working in sync with Microsoft Research and leading academic institutions. We are organized around three principal research pillars that support our commitment to operational excellence, AI efficiency, and domain customization technologies:\u200b<\/p>\n\n\n\n

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AI for Domains<\/h4>\n\n\n\n

Unlocking the potential of enterprise data for AI applications while safeguarding privacy and confidentiality. We develop AI technologies that deliver personalized, domain-adapted experiences that prioritize privacy.<\/p>\n\n\n\n

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AIOps<\/h4>\n\n\n\n

Deep workload understanding combining with AI\/ML and algorithmic innovations to provide a step function improvement across operational efficiency, service reliability, developer productivity and sustainability.<\/p>\n\n\n\n

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Efficient AI<\/h4>\n\n\n\n

Focused on cross-stack optimizations spanning models, applications, infrastructure, and hardware. We aim for solutions that are not only faster and more cost-effective but also more environmentally friendly.<\/p>\n\n\n\n

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Latest news<\/h2>\n\n\n
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Work with us<\/h2>\n\n\n\n

We are hiring!<\/font><\/p>\n\n\n\n\n\n

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Pioneering advancements in AI and systems<\/p>\n","protected":false},"featured_media":1048698,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556,13558,13547],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-793670","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-security-privacy-cryptography","msr-research-area-systems-and-networking","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[],"related-researchers":[{"type":"user_nicename","display_name":"Saravan 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