{"id":925785,"date":"2023-03-23T09:30:41","date_gmt":"2023-03-23T16:30:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-focus-area-post&p=925785"},"modified":"2024-06-12T15:15:55","modified_gmt":"2024-06-12T22:15:55","slug":"ai-and-microsoft-research","status":"publish","type":"msr-focus-area-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/focus-area\/ai-and-microsoft-research\/","title":{"rendered":"AI and Microsoft Research"},"content":{"rendered":"\n
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AI and Microsoft Research<\/h1>\n<\/div><\/div>\n\n\n\n
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As a result of decades of work across the computing research community, AI is ubiquitous in the technologies that we use every day. Accelerating breakthroughs in large-scale AI are driving new waves of discovery and innovation.<\/p>\n<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n\n\n\n\n\n

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Watch Research Forum episodes on demand<\/a><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Breakthroughs in large-scale AI have fundamentally transformed every product at Microsoft. But we believe that many further advances are both possible and needed to achieve the full potential of AI to benefit people, organizations, and society as whole.<\/p>\n\n\n\n

We at Microsoft Research work as part of the global research community to advance AI with the aim to: enhance our understanding of artificial general intelligence, create new model architectures with novel emergent abilities, achieve societal benefit through the advancement of AI, transform scientific discovery, and extend human capabilities.<\/p>\n\n\n\n

Watch Research Forum episodes on demand<\/a><\/p>\n\n\n\n

Learn more about Microsoft’s approach to AI (opens in new tab)<\/span><\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Where we are focusing our efforts<\/h2>\n<\/div>\n\n\n
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We invite you to explore this page to learn more about our ambitions for AI research at Microsoft. For a deeper dive into our published research, please visit our AI research archive<\/a>.<\/strong><\/p>\n<\/div>\n\n\n\n

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Understanding generative AI<\/h3>\n\n\n
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Multimodal Generative AI: the Next Frontier in Precision Health<\/h4>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
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The Crossroads of Innovation and Privacy: Private Synthetic Data for Generative AI<\/h4>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
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Generative AI and Plural Governance: Mitigating Challenges and Surfacing Opportunities<\/h4>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
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The Metacognitive Demands and Opportunities of Generative AI<\/h4>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
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The latest generation of large-scale AI models is exhibiting surprising emergent capabilities<\/strong>, such as the ability to explain their reasoning, to write code and poetry, or to understand concepts and translate them across domains \u2013 all seemingly due to learning at massive scale. The most challenging benchmarks created by the research community to test these new models are being solved faster than they can be created.<\/p>\n\n\n\n

At Microsoft Research, we expect this phenomenon to accelerate with the development of future models, and are pursuing novel approaches to understanding the nature of this emergent form of intelligence. To do this, we are relying less on classical benchmarking, and instead taking inspiration from the study of human intelligence, and from the prediction and observation of natural phenomena.<\/p>\n\n\n\n

Related reading<\/h4>\n\n\n\n