Microsoft Research

Research manager Karin Strauss and members of the DNA Data Storage Project reflect on the path to developing a synthetic DNA–based system for archival data storage, including the recent open-source release of its most powerful algorithm for DNA error correction. The post Ideas: The journey to DNA data storage appeared first on Microsoft Research.

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.

The efficient simulation of molecules has the potential to change how the world understands biological systems and designs new drugs and biomaterials. Tong Wang discusses AI2BMD, an AI-based system designed to simulate large biomolecules with speed and accuracy. The post Abstracts: November 14, 2024 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.

Researcher Siddharth Suri and professor David Holtz give a brief history of prompt engineering, discuss the debate behind their recent collaboration, and share what they found from studying how people’s approaches to prompting change as models advance. The post Collaborators: Prompt engineering with Siddharth Suri and David Holtz appeared first on Microsoft Research.