Items tagged with “Microsoft”.
Microsoft Research examines tool-space interference in the MCP era and outlines design considerations for scalable agent compatibility, using Magentic-UI as an illustrative example.
RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required. The post RenderFormer: How neural ne
Microsoft Research outlines MOSAIC, a microLED-based optical interconnect concept designed to overcome datacenter memory and network limits restricting AI performance, with potential to transform AI cluster designs.
Microsoft Research's Crescent library aims to protect user privacy in digital identity ecosystems by preventing cross-use tracking and enabling selective disclosure of credentials.
Microsoft Research shares additional notes on its AI and occupations study, focusing on which occupations may find generative AI chatbots useful and to what degree.
A Microsoft Research podcast recap examining how AI is reshaping healthcare economics, biomedical research, and medical education, with a focus on navigating medical education in the era of generative AI.
MindJourney can enable AI to navigate and interpret 3D environments from limited visual input, potentially improving performance in navigation, planning, and safety-critical tasks. The post MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation appeared first on Micr
Dion is a new AI model optimization method that boosts scalability and performance by orthonormalizing only a top-rank subset of singular vectors, enabling more efficient training of large models like LLaMA-3 with reduced overhead.
A Microsoft Research podcast features Dr. Umair Shah and Dr. Gianrico Farrugia discussing how AI reshapes public health, care delivery, the healthcare-research link, and the patient experience.
Microsoft Research outlines a vision for self-adapting AI systems that adjust to evolving scientific discovery, enabling deeper, refined reasoning in complex domains.
Project Ire autonomously identifies malware at scale by classifying software without context and replicating the gold-standard malware analysis through reverse engineering, enabling faster, more consistent large-scale detection.
Explores how generative AI is transforming medical education, with insights from Morgan Cheatham and Daniel Chen on tool integration and the questions of trust, training, and responsibility.
Overview of Semantic Telemetry and the technical approach to classifying human-AI interactions at scale, covering batching, token optimization, and orchestration.
In the Microsoft Research Podcast series finale, Amanda Craig Deckard examines what Microsoft has learned about testing as a governance tool for AI, highlighting rigor, standardization, interpretability, and next steps for AI governance.
CollabLLM teaches LLMs to collaborate with users by knowing when to ask questions and adapting tone to context, highlighted in Microsoft Research's Semantic Telemetry post for ICML 2025 support.