We study diffusion-based world models for reinforcement learning, which offer high generative fidelity but face critical efficiency challenges in control. Current methods either require heavyweight models at inference or rely on highly sequential imagination, both of which impose prohibitive computational costs. We propose Horizon Imagination…
Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are looking for a Senior Researcher - Machine Learning to help us advance the ways artificial intelligence can accelerate and advance discovery in…
Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are looking for a Senior Researcher - Machine Learning for Life Sciences to help us advance the ways artificial intelligence can accelerate and…
As a Research Intern you will be working in the Azure Storage group, conducting research on leading edge storage systems. You will have an opportunity to optimize the performance and efficiency of storage systems at enormous scale and work on extremely challenging problems. Current work…
Long-term memory is essential for large language model (LLM) agents operating in complex environments, yet existing memory designs are either task-specific and non-transferable, or task-agnostic but less effective due to low task-relevance and context explosion from raw memory retrieval. We propose PlugMem, a task-agnostic plugin…
This research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations.
Purpose To develop SCOPE (Small-lesion COntextual Pancreatic Evaluator), a deep learning model designed to improve CT detection of small pancreatic lesions—pancreatic ductal adenocarcinoma (PDAC), pancreatic neuroendocrine tumors (PanNETs), and cystic lesions—by integrating voxel-level features with global context. Materials and Methods This retrospective study used three independent datasets.…
Multi-turn jailbreaks capture the real threat model for safety-aligned chatbots, where single-turn attacks are merely a special case. Yet existing approaches break under exploration complexity and intent drift. We propose SEMA, a simple yet effective framework that trains a multi-turn attacker without relying on any…
At the intersection of public health and healthcare delivery, population health management analyzes population level data to identify opportunities to improve the quality, efficiency, and equity of care being provided. Population health management incorporates defining a population of individuals; recognizing the circumstances in which that…
This project studies the data protection challenges when models and agents interact with sensitive data across multiple users. Large language models (LLMs) are increasingly deployed in enterprise settings where thLarge language models (LLMs) are increasingly deployed in enterprise environments, where they serve multiple users and…
Microsoft Research unveils Paza, a human-centered speech pipeline, and PazaBench, the first leaderboard for low-resource languages. It covers 39 African languages and 52 models and is tested with communities in real settings.
Microsoft's Health and Life Sciences (HLS) group is driving a healthcare revolution with AI-powered solutions like Dragon Copilot. These innovations empower healthcare professionals to enhance patient care, improve outcomes, boost productivity, and reduce burnout. Our applied sciences team is looking for a Research Intern to…
