How to Compress Garbled Circuit Input Labels, Efficiently
Speakers: Hanjun Li, University of Washington Garbled circuit is a foundational primitive in both theory and practice of cryptography.
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Differentially Private Synthetic Data without Training
Speakers: Zinan Lin Host: Kim Laine Generating differentially private (DP) synthetic data that closely resembles original data while preserving user privacy is a scalable solution to address
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9.4
Celebrating Susan Dumais: Reflections on a Legacy of Research and Collaboration | Plenary Session
Plenary session at the March 14, 2025 "Festschrift" celebrating the career of Susan Dumais.
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The Assistant: Situated Interaction Project (2012)
The Assistant was a long-running demonstration system developed as part of the Situated Interaction project at Microsoft Research.
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The AI Revolution in Medicine, Revisited: An Introduction
Host Peter Lee, Microsoft Research president, discusses the motivation behind the new series and the GPT-4 encounter that helped him view the tech not only as a potential tool for improving
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5.9
AI and Europe's history of reinvention
Europe's history of reinvention is unparalleled, with iconic companies that have continuously adapted and thrived through various industrial cycles.
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World and Human Action Models towards gameplay ideation (Supplementary Video 1)
Supplementary Video 1 provided with the article "World and Human Action Models towards gameplay ideation" (Kanervisto et al. 2025, nature.com/articles/s41586-025-08600-3).
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7.4
LLMs vs. Torch 1.5: Why Your Code Assistant Can't Keep Up
Speakers: Diganta Misra Host: Sanchit Ahuja In the fast-evolving world of software libraries, code generation models are struggling to keep pace.
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13.3
Using LLMs for safe low-level programming | Microsoft Research Forum
Aseem Rastogi, Principal Researcher, and Pantazis Deligiannis, Principal Research Engineer from Microsoft Research FoSSE (Future of Scalable Software Engineering) discuss the technical results from
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67.4
AutoGen v0.4: Reimagining the foundation of agentic AI for scale and more | Microsoft Research Forum
Gagan Basal, Senior Researcher, Microsoft Research AI Frontiers introduces a transformative update to the AutoGen framework that builds on user feedback and redefines modularity, stability, and
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41.7
Belief state transformers | Microsoft Research Forum
John Langford, Partner Research Manager, Microsoft Research AI Frontiers showcases a new transformer architecture that generates compact belief states for goal-conditioned planning, enhancing
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Magma: A foundation model for multimodal AI Agents | Microsoft Research Forum
Jianwei Yang, Principal Researcher, Microsoft Research Redmond, introduces Magma, a new multimodal agentic foundation model designed for UI navigation in digital environments and robotics
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19.8
Chimera: Accurate synthesis prediction by ensembling models with... | Microsoft Research Forum
Marwin Segler, Principal Researcher Manager, Microsoft Research AI for Science, discusses chemical synthesis in drug discovery with a learning-to-rank framework that integrates AI-based models
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162.5
AI for Precision Health: Learning the language of nature and patients | Microsoft Research Forum
This panel discussion with Microsoft researchers and external guests explores the transformative potential of generative AI in learning the language of nature and patients for precision health, from
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Keynote: Multimodal Generative AI for Precision Health | Microsoft Research Forum
Hoifung Poon, General Manager, Microsoft Health Futures, introduces an agenda in precision health, utilizing generative AI to pretrain high-fidelity patient embeddings from multimodal, longitudinal
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81.2
WHAM Demonstrator tutorial
Introducing Muse, our World and Human Action Model (WHAM). Muse is a generative AI model of a video game that can generate game visuals, controller actions, or both.
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10.8
Attestations over TLS 1.3 and ZKP
Sofía Celi is a senior cryptography researcher at Brave specializing in privacy-enhancing technologies, post-quantum cryptography, and zero-knowledge proofs.
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11.9
Accelerating Multilingual RAG Systems
As Retrieval-Augmented Generation (RAG) systems gain prominence for grounding large language models (LLMs) in external knowledge, constructing evaluation frameworks is critical in accelerating
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Pronouns in the Workplace: Learning Inclusive Software Design from Real-World Experiences
This video helps explain how trans, nonbinary and queer individuals navigate complex workplace social dynamics, and the role that their work technology plays in facilitating it or, at times, making
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Culturally Aware Machines: Why and when are they useful?
Language, culture, and technology are deeply intertwined; any technology that aims to process or generate language must have a nuanced understanding of culture.
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17.7
Embodied AI Workshop at CVPR 2024
The Embodied AI 2024 workshop was held in conjunction with CVPR 2024 in Seattle, Washington.
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17.4
GASP: Gaussian Avatars with Synthetic Priors
Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars.
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A Closer Look at Falcon
Speakers: Jonas Janneck Host: Melissa Chase Falcon is a winner of NIST’s six-year post-quantum cryptography standardization competition.
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Quantum Lattice Enumeration in Limited Depth, Fernando Virdia
Speakers: Fernando Virdia Host: Michael Naehrig In 2018, Aono, Nguyen, and Shen (ASIACRYPT 2018) proposed to use quantum backtracking algorithms (Montanaro, TOC 2018; Ambainis and Kokainis, STOC
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Enhancing Security of Bluetooth Secure Connections via Deferrable Authentication
Speakers: Olga Sanina Host: Kim Laine The Bluetooth protocol for wireless connection between devices comes with several security measures toprotect confidentiality and integrity of data.
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Improving the Security of United States Elections with Robust Optimization
For more than a century, election officials across the United States have inspected voting machines before elections using a procedure called Logic and Accuracy Testing (LAT).
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Introducing BiomedParse, a groundbreaking foundation model for biomedical image analysis
Image analysis is fundamental for clinical diagnostics and biomedical discovery.
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Low latency carbon budget 2023
In 2023, global land carbon sinks—the Earth’s forests, soils, and vegetation that absorb CO2—experienced a dramatic decline, as revealed by a study published in National Science Review by several
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Future Directions for XR Interactions with Advanced Sensing Techniques and Haptic Design Frameworks
Speakers: Sang Ho Yoon Host: Michel Pahud The advancement in sensor/actuator hardware has enabled the development of wearable interfaces for AR/VR beyond.
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Estimating mental workload in a simulated flight task using optical f-NIRS signals
Speakers: Elisabeth Heremans Host: Ivan Tashev Accurately estimating cognitive workload is essential for adaptive learning in pilot training, allowing flight simulation tasks to be tailored to
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