MicroCode: Portable programming for the BBC micro:bit
June 18, 2024
MicroCode offers an affordable way to program the BBC micro:bit without needing an internet connection, fostering exploratory learning.
Microsoft Research Blog
MicroCode: Portable programming for the BBC micro:bit
June 18, 2024
MicroCode offers an affordable way to program the BBC micro:bit without needing an internet connection, fostering exploratory learning.
Recent Posts
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Microsoft at CVPR 2024: Innovations in computer vision and AI research
June 17, 2024Microsoft is proud to sponsor the 41st annual Conference on Computer Vision and Pattern Recognition (CVPR 2024), held from June 17 to June 21. This premier conference covers a broad spectrum of topics in the field, including 3D reconstruction and modeling, action and motion analysis,…
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Introducing AutoGen Studio: A low-code interface for building multi-agent workflows
June 17, 2024AutoGen Studio, built on Microsoft’s flexible open-source AutoGen framework for orchestrating AI agents, provides an intuitive user-friendly interface that enables developers to rapidly build, test, customize, and share multi-agent AI solutions—with little or no coding.
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Research Focus: Week of June 10, 2024
June 12, 2024In this issue: RELEVANCE automatically evaluates creative LLM responses; Recyclable vitrimer-based printed circuit boards; Lean Attention: Hardware-aware scalable attention mechanism; WaveCoder: a fine-tuned code LLM; New AutoGen training course.
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SIBYL: A machine learning-based framework for forecasting dynamic workloads
June 11, 2024SIBYL is a machine learning model that makes highly accurate predictions of database queries, enabling tuning for more efficiency. Applying traditional database optimizations to these predicted queries helps maintain high performance as demands change.
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LST-Bench: A new benchmark tool for open table formats in the data lake
June 10, 2024LST-Bench is a new open-source benchmark designed to evaluate table formats in cloud environments. It extends existing benchmarks to better reflect real-world usage & performance of data lakes and easily integrates with commonly used analytical engines.
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Microsoft Research Forum Episode 3: Globally inclusive and equitable AI, new use cases for AI, and more
June 5, 2024“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there's an immense opportunity to take control of the agenda and build truly globally equitable AI systems”, —Jacki O’Neill, Lab Director, Microsoft…
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Microsoft at FAccT 2024: Advancing responsible AI research and practice
June 5, 2024From studying how to identify gender bias in Hindi to uncovering AI-related risks for workers, Microsoft is making key contributions towards advancing the state of the art in responsible AI research. Check out their work at ACM FAccT 2024.
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Introducing Aurora: The first large-scale foundation model of the atmosphere
June 3, 2024Aurora, a new AI foundation model from Microsoft Research, can transform our ability to predict and mitigate extreme weather events and the effects of climate change by enabling faster and more accurate weather forecasts than ever before.
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The Crossroads of Innovation and Privacy: Private Synthetic Data for Generative AI
May 29, 2024Synthetic data could potentially help address some privacy concerns with AI model development and training, but it comes with limitations. Researchers at Microsoft are exploring techniques for producing more realistic data with strong privacy protections.
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Research Focus: Week of May 27, 2024
May 29, 2024How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
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GigaPath: Whole-Slide Foundation Model for Digital Pathology
May 22, 2024 | Hoifung Poon and Naoto UsuyamaDigital pathology helps decode tumor microenvironments for precision immunotherapy. In joint work with Providence and UW, we’re sharing Prov-GigaPath, the first whole-slide pathology foundation model, for advancing clinical research.
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