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AI Frontiers

뉴스 & 기능

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| Kwangjun Ahn 그리고 John Langford

Dion is a new AI model optimization method that boosts scalability and performance over existing leading methods by orthonormalizing only a top rank subset of singular vectors, enabling more efficient training of large models such as LLaMA-3 with reduced overhead.

Illustrated headshots of Peter Lee, Umair Shah, Gianrico Farrugia
Microsoft Research 팟캐스트

| Peter Lee, Dr. Umair Shah, 그리고 Dr. Gianrico Farrugia

Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and the patient experience.

Research Focus: May 07, 2025
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In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more.

뉴스에서 | VentureBeat

Large language models (LLMs) are increasingly capable of complex reasoning through “inference-time scaling,” a set of techniques that allocate more computational resources during inference to generate answers. However, a new study from Microsoft Research reveals that the effectiveness of these…

뉴스에서 | TheSequence

AutoGen has undergone significant evolution since its inception, driven by the need for more efficient, flexible, and scalable agentic AI systems. The release of AutoGen v0.4 introduces a fundamental architectural shift, addressing prior inefficiencies and enhancing its capabilities.

Research Focus: Week of December 16, 2024
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NeoMem: hardware/software co-design for CXL-native memory tiering; Chimera: accurate retrosynthesis prediction by ensembling models with diverse inductive biases; GA4GH task execution API enables multicloud task execution.

뉴스에서 | VentureBeat

Microsoft launched a new artificial intelligence model today that achieves remarkable mathematical reasoning capabilities while using far fewer computational resources than its larger competitors. The 14-billion-parameter Phi-4 frequently outperforms much larger models like Google’s Gemini Pro 1.5, marking a significant…

뉴스에서 | Techcrunch

Microsoft has revealed the newest addition to its Phi family of generative AI models. Called Phi-4, the model improves in several areas over its predecessors, Microsoft claims, particularly in solving math problems. That’s partly the result of better training data…

뉴스에서 | Tech Brew

One of the key questions driving Ece Kamar’s research as managing director of Microsoft’s AI Frontiers Lab is how to coordinate networks of these agents—AI systems that can perform autonomous tasks beyond the scope of chatbots. Late last year, her…