Yasuyuki Matsushita rejoins Microsoft to lead the new Microsoft Research Asia - Tokyo lab. Learn more about his journey and his perspective on the Tokyo lab's role in evolution of AI. The post Introducing Yasuyuki Matsushita: Tackling societal challenges with AI at Microsoft Research Asia – Tokyo appeared first on Microsoft Research.

BiomedParse reimagines medical image analysis, integrating advanced AI to capture complex insights across imaging types—a step forward for diagnostics and precision medicine. The post BiomedParse: A foundation model for smarter, all-in-one biomedical image analysis appeared first on Microsoft Research.

Retrieval-augmented generation (RAG) helps AI systems provide more information to a large language model (LLM) when generating responses to user queries. A new method for conducting “global” queries can optimize the performance of global search in GraphRAG. The post GraphRAG: Improving global search via dynamic community selection appeared first on Microsoft Research.

Orca-AgentInstruct, from Microsoft Research, can generate diverse, high-quality synthetic data at scale to post-train and fine-tune base LLMs for expanded capabilities, continual learning, and increased performance. The post Orca-AgentInstruct: Agentic flows can be effective synthetic-data generators appeared first on Microsoft Research.

Modular models can democratize AI development while unlocking new benefits and use cases. Modularized AI can be more flexible, more compliant, and cheaper to develop—requiring less data and fewer compute resources to train expert models. The post Toward modular models: Collaborative AI development enables model accountability and continuous learning appeared first on Microsoft Research.

Holistic motion-capture calibration technique without calibration, manual intervention or custom hardware; Research on AI agents for autonomous clouds; Automating proof-oriented program construction; One-to-many testing for natural language code generation. The post Research Focus: Week of November 11, 2024 appeared first on Microsoft Research.

Sophisticated side-channel attacks present new security challenges for cloud providers. Learn how Microsoft is exploring defenses against emerging attacks with principled microarchitectural isolation: The post Preventing side-channels in the cloud appeared first on Microsoft Research.

Microsoft Research’s AI2BMD, an AI-based system that efficiently simulates a wide range of proteins in all-atom resolution, can advance drug discovery and biomolecular research. The post From static prediction to dynamic characterization: AI2BMD advances protein dynamics with ab initio accuracy appeared first on Microsoft Research.

Building resilient systems, scaling deep learning computation, and reproducing failures in production are just some of the ways Microsoft researchers are advancing the state of the art in computer systems research at SOSP 2024. The post Microsoft at SOSP 2024: Innovations in systems research appeared first on Microsoft Research.

When augmented with AI, small power grids can create opportunities for decentralized, equitable, and resilient power. Microsoft’s collaboration shows AI’s potential to optimize energy distribution and empower communities. The post AI-powered microgrids facilitate energy resilience and equity in regional communities appeared first on Microsoft Research.