Microsoft Research Asia – Singapore, launched a year ago, has built a solid foundation and strengthened collaboration with government, academia, and industry. The lab is exploring how frontier AI research can generate real‑world value. It continues to advance research, partnership, and talent for practical impact.
By Microsoft Research Team
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve.
By Akshay Nambi, Yash Pandya, Sahil Gupta, Sarthak Harne, Kavyansh Chourasia, Yash Lara, Ahmed Awadallah, Ece Kamar
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure.
By Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Jianfeng Gao
Towards Data Science has released a video showcase titled "Introducing ShipAI," which highlights real‑world AI work. The post announces this new visual resource and its focus on practical AI applications. It is positioned as a first look into the platform’s capabilities.
By TDS Editors
What our over-dependence on external consulting teaches us about delegating our minds to machines The post The Big Con of Agentic AI appeared first on Towards Data Science .
By Chinmay Kakatkar
Flint‑interactive is a language developed by Microsoft Research that enables AI agents to generate interactive data visualizations. It allows users to click on charts, filter data, highlight related content, and explore beyond the initially chosen view. The system is designed to enhance user interaction with visual data representations.
By Chenglong Wang, Yuwei Xiao, Alper Sarikaya, Michel Galley, Chris Quirk, Jianfeng Gao