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Published Date

Microsoft Research Blog

AIOpsLab: Building AI agents for autonomous clouds

December 20, 2024 | Minghua Ma, Gagan Somashekar, Rujia Wang, Chetan Bansal, Saravan Rajmohan

AIOpsLab is an open-source framework designed to evaluate and improve AI agents for cloud operations, offering standardized, scalable benchmarks for real-world testing, enhancing cloud system reliability.

White outline illustrations for AIOps on a blue and green gradient background.

Podcast

NeurIPS 2024: The co-evolution of AI and systems with Lidong Zhou

December 17, 2024

Just after his NeurIPS 2024 keynote on the co-evolution of systems and AI, Microsoft CVP Lidong Zhou joins the podcast to discuss how rapidly advancing AI impacts the systems supporting it and the opportunities to…

Illustrated headshots of Lidong Zhou and Eliza Strickland

Publication

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova

NeurIPS 2024 | December 2024

Publication

Microsoft New Future of Work Report 2024

Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le

MSR-TR-2024-56 | December 2024

Published by Microsoft

Project Project

Publication

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维

December 2024

Publication

Large Language Model-Brained GUI Agents: A Survey

Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

ArXiv | November 2024, Vol abs/2411.18279

Project

Video

SPACE framework, PRs per engineer, AI research | Brian Houck (Microsoft)

November 26, 2024 | Brian Houck

33:06

Publication

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference

Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula

2024 Symposium on Operating Systems Principles | November 2024

Project

Microsoft Research Blog

Research Focus: Week of November 11, 2024

November 13, 2024

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.

Programming languages and software engineering

Highlights