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The Crossroads of Innovation and Privacy: Private Synthetic Data for Generative AI

A flow chart with four successive blocks. Starting with a data owner, private data is provisioned to train a language model with differential privacy. The language model is subsequently prompted to generate novel synthetic data resembling the private data. This data can be used for down-stream applications such as machine learning, feedback analysis or statistical analysis.
Research Focus: May 27, 2024
Microsoft Research Blog

Research Focus: Week of May 27, 2024 

May 29, 2024

Digital pathology helps decode tumor microenvironments for precision immunotherapy. GigaPath is a novel vision transformer that can scale to gigapixel whole-slide images by adapting dilated attention for digital pathology. In joint work with Providence and UW, we’re sharing Prov-GigaPath, the first whole-slide pathology foundation model pretrained on large-scale real-world data, for advancing clinical research and discovery.
Microsoft Research Blog

GigaPath: Whole-Slide Foundation Model for Digital Pathology 

May 22, 2024 | Hoifung Poon, Naoto Usuyama

Microsoft Research Podcast - Abstracts | May 20, 2024 | Andrey Kolobov
Microsoft Research Blog

Abstracts: May 20, 2024 

May 20, 2024 | Andrey Kolobov, Gretchen Huizinga

Explore Microsoft Research Forum

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Microsoft Research Forum 

Chris Bishop giving talk at Microsoft Research Forum Episode 2

Transforming health care and the natural sciences, AI and society, and the evolution of foundational AI technologies 

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Research Forum Brief | January 2024 

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Research Forum Brief | March 2024 

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