Microsoft Research and Physics Wallah team up to enhance AI-based tutoring
In India, limited resources, geographical constraints, and economic factors present barriers to quality education for some students. A shortage of teachers, particularly in remote or low-income areas,...
View ArticleIntroducing Muse: Our first generative AI model designed for gameplay ideation
Today, the journal Nature (opens in new tab) is publishing our latest research, which introduces the first World and Human Action Model (WHAM). The WHAM, which we’ve named “Muse,” is a generative AI...
View ArticleExploring the structural changes driving protein function with BioEmu-1
From forming muscle fibers to protecting us from disease, proteins play an essential role in almost all biological processes in humans and other life forms alike. There has been extraordinary progress...
View ArticleMagma: A foundation model for multimodal AI agents across digital and...
Imagine an AI system capable of guiding a robot to manipulate physical objects as effortlessly as it navigates software menus. Such seamless integration of digital and physical tasks has long been the...
View ArticleAdvancing biomedical discovery: Overcoming data challenges in precision medicine
Introduction Modern biomedical research is driven by the promise of precision medicine—tailored treatments for individual patients through the integration of diverse, large-scale datasets. Yet, the...
View ArticleSemantic Telemetry: Understanding how users interact with AI systems
AI tools are proving useful across a range of applications, from helping to drive the new era of business transformation to helping artists craft songs. But which applications are providing the most...
View ArticleIntroducing KBLaM: Bringing plug-and-play external knowledge to LLMs
Large language models (LLMs) have demonstrated remarkable capabilities in reasoning, language understanding, and even creative tasks. Yet, a key challenge persists: how to efficiently integrate...
View ArticleClaimify: Extracting high-quality claims from language model outputs
While large language models (LLMs) are capable of synthesizing vast amounts of information, they sometimes produce inaccurate or unsubstantiated content. To mitigate this risk, tools like Azure AI’s...
View ArticleMetasurface: Unlocking the future of wireless sensing and communication
As the demand for faster, more reliable wireless communication continues to grow, but traditional systems face limitations in efficiency and adaptability. To keep up with evolving needs, researchers...
View ArticleResearch Focus: Week of March 24, 2025
In this issue: We examine a new conversation segmentation method that delivers more coherent and personalized agent conversation, and we review efforts to improve MLLMs’ understanding of geologic...
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