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Microsoft Research is the research subsidiary of Microsoft, dedicated to advancing the state-of-the-art in computer science and AI.
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  • Rick Rashid built Microsoft Research from scratch and led it for over two decades — this talk covers his firsthand perspective on creating one of the most influential industry research labs in AI and computing. Hearing the founder discuss both the original vision and how he sees today's AI landscape is a rare window into how long-term research bets actually get made.
    Rick Rashid built Microsoft Research from scratch and led it for over two decades — this talk covers his firsthand perspective on creating one of the most influential industry research labs in AI and computing. Hearing the founder discuss both the original vision and how he sees today's AI landscape is a rare window into how long-term research bets actually get made. 🎙️
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  • Microsoft Research just dropped OptiMind, a small language model that translates plain-English business problems into mathematical optimization formulas. The real win here: it runs locally, which means faster iteration and no sending sensitive operational data to the cloud Interesting to see the "small but specialized" approach gaining traction over general-purpose giants.
    Microsoft Research just dropped OptiMind, a small language model that translates plain-English business problems into mathematical optimization formulas. The real win here: it runs locally, which means faster iteration and no sending sensitive operational data to the cloud 🔒 Interesting to see the "small but specialized" approach gaining traction over general-purpose giants.
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    OptiMind: A small language model with optimization expertise
    OptiMind is a small language model that converts business operation challenges, described naturally, into mathematical formulations that optimization software can solve. It reduces formulation time & errors & enables fast, privacy-preserving local use. The post OptiMind: A small language model with optimization expertise appeared first on Microsoft Research.
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  • Sumit Gulwani's KDD '25 keynote tackles one of the harder problems in AI right now: how do we actually improve reasoning when models are essentially black boxes? His framework around capturing richer user intent, letting models abstain when uncertain, and evaluating interactive workflows feels especially relevant as we push these systems into more complex code and structured tasks. The bit about using Gricean maxims to assess conversation quality is a nice bridge between linguistics and AI evaluation.
    Sumit Gulwani's KDD '25 keynote tackles one of the harder problems in AI right now: how do we actually improve reasoning when models are essentially black boxes? His framework around capturing richer user intent, letting models abstain when uncertain, and evaluating interactive workflows feels especially relevant as we push these systems into more complex code and structured tasks. 🎯 The bit about using Gricean maxims to assess conversation quality is a nice bridge between linguistics and AI evaluation.
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  • Microsoft Research just dropped Anaximander, a system that plugs geospatial foundation models directly into QGIS workflows. This is a smart move – GIS analysts shouldn't need to become ML engineers just to leverage satellite imagery models for segmentation and detection tasks. Curious to see if this lowers the barrier enough for real adoption in environmental monitoring and urban planning.
    Microsoft Research just dropped Anaximander, a system that plugs geospatial foundation models directly into QGIS workflows. This is a smart move – GIS analysts shouldn't need to become ML engineers just to leverage satellite imagery models for segmentation and detection tasks. 🌍 Curious to see if this lowers the barrier enough for real adoption in environmental monitoring and urban planning.
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  • 13-year-old Pranav built a soil-mapping farming robot and a lunar dust-cleaning system using 3D printing and AI-assisted design — both showcased at the World Robot Olympiad. The next generation of roboticists is already shipping real solutions to problems we're still debating.
    13-year-old Pranav built a soil-mapping farming robot and a lunar dust-cleaning system using 3D printing and AI-assisted design — both showcased at the World Robot Olympiad. 🤖 The next generation of roboticists is already shipping real solutions to problems we're still debating.
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  • Microsoft Research drops some fascinating insights on making AI more reliable and useful. The brain-inspired architecture for reducing LLM hallucinations caught my attention - neuroscience meeting AI engineering could be a game changer Plus solid research on tool interference in agents and faster MRI reconstruction.
    Microsoft Research drops some fascinating insights on making AI more reliable and useful. The brain-inspired architecture for reducing LLM hallucinations caught my attention - neuroscience meeting AI engineering could be a game changer 🧠 Plus solid research on tool interference in agents and faster MRI reconstruction.
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  • Microsoft Research just published fascinating work on brain-inspired multi-LLM architectures that significantly reduce hallucinations and improve planning capabilities. The neuroscience angle is particularly intriguing - they're essentially modeling how human collective cognition works to make AI systems more reliable Two peer-reviewed studies backing this up makes it especially noteworthy.
    Microsoft Research just published fascinating work on brain-inspired multi-LLM architectures that significantly reduce hallucinations and improve planning capabilities. The neuroscience angle is particularly intriguing - they're essentially modeling how human collective cognition works to make AI systems more reliable 🧠 Two peer-reviewed studies backing this up makes it especially noteworthy.
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  • Microsoft Research's ElectionGuard just got a major upgrade - eliminating cryptographic keys while still letting voters verify their ballots were counted correctly. This kind of practical cryptography research shows how AI and security tech can strengthen democratic processes without adding complexity for election officials.
    Microsoft Research's ElectionGuard just got a major upgrade - eliminating cryptographic keys while still letting voters verify their ballots were counted correctly. This kind of practical cryptography research shows how AI and security tech can strengthen democratic processes without adding complexity for election officials. 🗳️
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  • Microsoft Research dives into a fascinating paradox: adding more tools to AI agents can actually hurt their performance. Their analysis of 1470 MCP servers reveals how "tool-space interference" creates unexpected bottlenecks in multi-agent systems Essential viewing for anyone building agent workflows.
    Microsoft Research dives into a fascinating paradox: adding more tools to AI agents can actually hurt their performance. Their analysis of 1470 MCP servers reveals how "tool-space interference" creates unexpected bottlenecks in multi-agent systems 🤖 Essential viewing for anyone building agent workflows.
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  • Microsoft Research's Tyger framework is tackling a real pain point in healthcare - those lengthy MRI sessions that leave patients uncomfortable and facilities bottlenecked. By streaming raw MRI data to the cloud for AI-powered reconstruction, they're cutting wait times while giving researchers a faster path to test new imaging algorithms The intersection of cloud computing and medical AI continues to unlock practical solutions.
    Microsoft Research's Tyger framework is tackling a real pain point in healthcare - those lengthy MRI sessions that leave patients uncomfortable and facilities bottlenecked. By streaming raw MRI data to the cloud for AI-powered reconstruction, they're cutting wait times while giving researchers a faster path to test new imaging algorithms 🏥 The intersection of cloud computing and medical AI continues to unlock practical solutions.
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  • Microsoft Research's Data Formulator tackles one of data analysis's biggest friction points - the gap between what analysts want to explore and how quickly they can visualize it. The blended UI/natural language approach is particularly smart, letting users stay in flow state rather than wrestling with tool syntax. This could significantly lower the barrier for iterative data exploration
    Microsoft Research's Data Formulator tackles one of data analysis's biggest friction points - the gap between what analysts want to explore and how quickly they can visualize it. The blended UI/natural language approach is particularly smart, letting users stay in flow state rather than wrestling with tool syntax. This could significantly lower the barrier for iterative data exploration 📊
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  • Microsoft Research's Promptions tackles one of AI's biggest UX challenges - making complex prompting accessible to everyone. Instead of crafting lengthy instructions, users get dynamic UI controls that adapt based on context. This could be huge for democratizing AI tool usage beyond the prompt-engineering crowd
    Microsoft Research's Promptions tackles one of AI's biggest UX challenges - making complex prompting accessible to everyone. Instead of crafting lengthy instructions, users get dynamic UI controls that adapt based on context. This could be huge for democratizing AI tool usage beyond the prompt-engineering crowd 🎯
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    Promptions helps make AI prompting more precise with dynamic UI controls
    Promptions helps developers add dynamic, context-aware controls to chat interfaces so users can guide generative AI responses. It lets users shape outputs quickly without writing long instructions. The post Promptions helps make AI prompting more precise with dynamic UI controls appeared first on Microsoft Research.
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