Adam Fourney的肖像

Adam Fourney

Senior Principal Researcher

新闻与深度文章

Four white icons on a blue-to-purple gradient background: the first icon shows a node cluster, the second shows two persons, the third is a building, and the fourth is a location pin
微软研究院博客

| Gagan Bansal, Wenyue Hua, Zachary Huang, Adam Fourney, Amanda Swearngin, Chinmay Singh, Brendan Lucier, Jake Hofman, Markus Mobius, Will Epperson, Tyler Payne, Akshay Nambi, Archana Yadav, Maya Murad, Matthew Vogel, Alex Slivkins, Dan Goldstein, David Rothschild, Hussein Mozannar, Nicole Immorlica, Subbarao Kambhampati, Eric Horvitz, 和 Saleema Amershi

AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace, an open-source simulation environment for studying agentic market designs.

Workflow icons showing tasks, thinking, and time, linked to a person symbol on a gradient background.
微软研究院博客

| Hussein Mozannar, Matheus Kunzler Maldaner, Maya Murad, Jingya Chen, Gagan Bansal, Rafah Hosn, 和 Adam Fourney

SentinelStep enables AI agents to handle monitoring tasks that run for hours or days, like watching for emails or tracking prices. It works by managing when agents should check and their context, avoiding wasted resources and missed updates.

Three white icons on a gradient background transitioning from blue to purple to pink. From left to right: a globe with a magnifying glass representing internet search, a central circle connected to smaller circles symbolizing network connectivity, and a checklist with two checkmarks and one empty box indicating task management.
微软研究院博客

| Adam Fourney, Tyler Payne, Maya Murad, 和 Saleema Amershi

As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent collaboration across fragmented tool ecosystems.

This figure denotes a human figure above a small monitor on the left and a gear on the right with arrows pointing to each.
微软研究院博客

| Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Friederike Niedtner, Jack Gerrits, Jacob Alber, Jingya Chen, Griffin Bassman, Erkang (Eric) Zhu, Peter Chang, Ricky Loynd, Maya Murad, Rafah Hosn, Ece Kamar, 和 Saleema Amershi

Magentic-UI, new from Microsoft Research, is an open-source research prototype of a human-centered AI agent, designed to work with people to complete complex, web-based tasks in real time over a web browser.

The v0.4 update introduces a cohesive AutoGen ecosystem that includes the framework, developer tools, and applications. The framework’s layered architecture clearly defines each layer’s functionality. It supports both first-party and third-party applications and extensions.
微软研究院博客

| Adam Fourney, Ahmed Awadallah, Cheng Tan, Erkang (Eric) Zhu, Friederike Niedtner, Gagan Bansal, Jack Gerrits, Jacob Alber, Peter Chang, Rafah Hosn, Ricky Loynd, Saleema Amershi, Victor Dibia, XiaoYun Zhang, Li Jiang, Ryan Sweet, Leonardo Pinheiro, Mohammad Mazraeh, Gerardo Moreno Zizumbo, Kosta Petan, Aamir Jawaid, Reuben Bond, Diego Colombo, 和 Hussein Mozannar

Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows.

AutoGen: White icons representing (from left to right) agents (multi), workflow, tasks, and coding on a blue to purple to pink gradient background.
微软研究院博客

| Victor Dibia, Gagan Bansal, Jingya Chen, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, 和 Saleema Amershi

AutoGen Studio, built on Microsoft’s flexible open-source AutoGen framework for orchestrating AI agents, provides an intuitive user-friendly interface that enables developers to rapidly build, test, customize, and share multi-agent AI solutions—with little or no coding.

新闻报道 | Wired

I’ve been playing this week with AutoGen, an open source software framework for AI agent collaboration developed by researchers at Microsoft and academics at Pennsylvania State University, the University of Washington, and Xidian University in China. The software taps OpenAI’s…

Microsoft Research Forum | Episode 3 | panel discussion
微软研究院博客

“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there's an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…

Microsoft at CHI 2024
微软研究院博客

From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.