{"id":48168,"date":"2023-08-31T22:33:40","date_gmt":"2023-09-01T02:33:40","guid":{"rendered":"https:\/\/www.bu.edu\/research\/?p=48168"},"modified":"2023-08-31T22:35:18","modified_gmt":"2023-09-01T02:35:18","slug":"call-for-proposals-microsoft-accelerate-foundation-models-research-program","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/research\/2023\/08\/31\/call-for-proposals-microsoft-accelerate-foundation-models-research-program\/","title":{"rendered":"Call for Proposals: Microsoft Accelerate Foundation Models Research Program"},"content":{"rendered":"<h4>Submit before September 12, 2023<\/h4>\n<p>Foundation models are fueling a fundamental shift in computing research and across the sciences. Even as industry-led advances in AI continue to reach new heights, Microsoft believes that a vibrant and diverse research ecosystem remains essential to realizing the promise of AI to benefit people and society while mitigating risks.<\/p>\n<p>Accelerate Foundation Models Research (AFMR) is a grant program through which Microsoft will make leading foundation models hosted by Microsoft Azure more accessible to the academic research community via Microsoft Azure AI services.<\/p>\n<p>By driving deeper collaboration across disciplines, institutions, and sectors, Microsoft aims to unlock the full potential of AI across greater breadth of research pursuits, application domains, and societal contexts.<\/p>\n<h5>Details and Qualifications<\/h5>\n<p>Successful applicants can receive up to $20,000 in Azure credits for their project until January 31, 2024, with access to Azure OpenAI API (e.g., GPT-4, DALL-E 2), open-source models such as Llama-2, Azure Cognitive Services (e.g., speech, vision, decision, translation), and Microsoft OSS libraries such as Semantic Kernel.<\/p>\n<p>Microsoft is interested in research topics in three areas:<\/p>\n<ul>\n<li><strong>Align AI systems with human goals and preferences <\/strong>(e.g., enable robustness, sustainability, transparency, trustfulness, develop evaluation approaches)<\/li>\n<li><strong>Advance beneficial applications of AI <\/strong>(e.g., increase human ingenuity, creativity and productivity, decrease AI digital divide)<\/li>\n<li><strong>Accelerate scientific discovery in the natural and life sciences<\/strong> (e.g., advance knowledge discovery, causal understanding, generation of multi-scale multi-modal scientific data)<\/li>\n<\/ul>\n<h5>How to Apply<\/h5>\n<p>Please click <strong><a href=\"https:\/\/UIDP.informz.net\/z\/cjUucD9taT0zOTk0MDU4JnA9MSZ1PTM4Mjg4NjQxMyZsaT00MjMwMDI2NQ\/index.html\"><span>here<\/span><\/a><\/strong> for more information on eligibility and how to apply.<\/p>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/accelerate-foundation-models-research-fall-2023\/\" class=\"button button-base\">Learn More<\/a>\n","protected":false},"excerpt":{"rendered":"<p>Submit before September 12, 2023 Foundation models are fueling a fundamental shift in computing research and across the sciences. Even as industry-led advances in AI continue to reach new heights, Microsoft believes that a vibrant and diverse research ecosystem remains essential to realizing the promise of AI to benefit people and society while mitigating risks. [&hellip;]<\/p>\n","protected":false},"author":15731,"featured_media":48170,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[426],"tags":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/posts\/48168"}],"collection":[{"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/users\/15731"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/comments?post=48168"}],"version-history":[{"count":3,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/posts\/48168\/revisions"}],"predecessor-version":[{"id":48172,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/posts\/48168\/revisions\/48172"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/media\/48170"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/media?parent=48168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/categories?post=48168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/research\/wp-json\/wp\/v2\/tags?post=48168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}