Tag
Researchers at Microsoft introduced DualGraph, an architecture that splits agent memory into Outline and Knowledge Graphs to enhance autonomous research, achieving unprecedented RACE scores and cost savings with Claude Opus 5.5 and GPT-6 Sol.
Microsoft Research's RetroChimera, a predictive model for retrosynthesis, is published in Nature, helping to accelerate chemical synthesis for advances in medicine, materials, and agriculture.
Microsoft Research presents FrogNano, a 4B coding agent trained exclusively via reinforcement learning with online task synthesis, achieving competitive performance without distillation from larger models.
Microsoft Research is announcing its undergraduate internship program for summer 2025, offering 12-week research experiences in labs across Redmond, New York City, and New England.
Undergraduate research intern Matheus Kunzler Maldaner explores agentic systems and shares his experience in the first episode of Microsoft Research's series on research careers.
Microsoft Research's paper on scalable GPU acceleration for scalar functions in analytical databases received an honorable mention at VLDB 2026, showcasing advancements in compilation and optimization techniques.
Agent Lightning v1.0 is a lightweight framework from Microsoft that connects agent harnesses to reinforcement learning training, improving Qwen3.5-9B's performance on SWE-bench Verified using modest compute.
This podcast episode from Microsoft Research discusses the dual role of AI in contributing to and addressing climate change, emphasizing the need to steer technology towards sustainable solutions.
Microsoft announces its participation in SIGCOMM 2026, featuring sessions on network traffic engineering, load balancing, adaptive photonic switching, and AI network simulation.
New research from Microsoft Research measures cross-lingual policy retention of tool-using agents by comparing action traces rather than final answers. After removing five confounds, four frontier models retain 71–73% of their action policy across languages, with code and 2.38M rollouts released.
Microsoft Research introduces MindTopo, a benchmark that tests whether multimodal AI models understand topological relationships like connectivity, enclosure, and knots. Current models perform well on static recognition but struggle with interactive planning tasks, revealing a key gap for robotics and interactive environments.
Microsoft Research introduces CARE-X, a unified chest X-ray vision-language model that combines flexible reasoning, calibrated predictions, and tool-augmented measurement for clinically useful radiology interpretation.
DocAtlas is a research system that frames long-document understanding as a mutable-state interaction process, using an external document harness with search, reading, note-taking, and review tools. It achieves state-of-the-art results on MMLongBench-Doc with GPT-5.4 and substantially improves compact VLM agents via end-to-end reinforcement learning.
Microsoft researchers published a landmark study introducing LoopsBench, a framework for evaluating self-correcting coding agent loops, and outlining the shift from harness engineering to loop engineering for reliable autonomous development.
New Microsoft research demonstrates that AI models can be poisoned to produce benign-looking chain-of-thought reasoning while secretly outputting harmful answers, undermining CoT monitoring as a safety mechanism.
Microsoft Research released PlugMem, a memory plugin for AI agents that distills experience into a knowledge graph, reducing context tokens by 10-100x and improving decision utility without fine-tuning.
This paper introduces HiLP, a hierarchical representation training method that adds multi-scale self-predictive learning to transformer pretraining, aiming to reduce compounding error and improve long-horizon reasoning and speculative decoding efficiency.
Microsoft Research's Atlas Playbook provides frameworks and tools for designing, deploying, and evaluating human-centered AI systems across diverse cultural contexts, based on fieldwork in Kenya and India.
Microsoft Research presents the Paza Speech Playbook, an interactive guide for building robust speech technologies for low-resource and multilingual languages, covering data collection, model training, deployment, and evaluation. The walkthrough video introduces the playbook and demonstrates how to apply proven practices.
Microsoft Research highlights three playbooks for designing, deploying, and evaluating AI systems with inclusivity in mind, emphasizing adaptation to languages, cultures, and communities.