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Three Orchard framework components with benchmark results
Microsoft Research Blog

Orchard: An open framework for scalable agentic AI 

August 3, 2026 | Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, and Jianfeng Gao

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.

In the news | LinkedIn

ACM Special Interest Group on Security, Audit and Control (SIGSAC) 

August 2, 2026

Our SIGSAC Spotlight featured researcher this month is Dr. F. Betül Durak, a principal researcher at Microsoft Research (MSR) and an applied cryptographer whose work explores how trust can be made explicit and measurable in modern technologies. Betül’s recent work…

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Microsoft Research Blog

Echoverse: Deep, evolving environments for computer-use agents 

July 30, 2026 | Akshay Nambi, Yash Pandya, Sahil Gupta, Sarthak Harne, Archana Yadav, Kavyansh Chourasia, Yash Lara, Ahmed Awadallah, and Ece Kamar

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.

Figure 1. EvoLib transforms raw experiences into reusable skills and insights, then continually evolves them through consolidation and dynamic weighting.
Microsoft Research Blog

EvoLib: Turning experience into evolving knowledge 

July 30, 2026 | Weijia Xu, Alessandro Sordoni, Zelalem Gero, Michel Galley, Eric Yuan, and Jianfeng Gao

LLMs do not get smarter just by remembering more. EvoLib turns experience into evolving knowledge, taking reusable skills and insights that help models learn and adapt across tasks long after deployment.

In the news | BigData Insider

Dear AI: How amputees themselves curate the training data for better AI images 

July 30, 2026

Generative image models often depict people with prostheses incorrectly or not at all. With the "Dear AI" initiative, the medical technology group Ottobock wants to change that. Together with those affected, an open data set is created that is intended…

In the news | Microsoft Signal

A new approach to AI data puts communities in charge 

July 22, 2026

Much of what AI knows about the world comes from data most people never see and from technical processes that determine what’s included or left out. As AI becomes increasingly influential in daily life, a new platform aims to help…

In the news | Ottobock

Human reality, not cyborg clichés: representing people with prostheses accurately in AI images. 

July 22, 2026

As much as artificial intelligence can achieve, it still frequently struggles in its attempts to represent people with disabilities. Anyone who has tried to use AI to create images of people with prostheses will be familiar with the distorted images…

In the news | Microsoft Source EMEA

Dear AI, here’s how to portray amputees correctly 

July 22, 2026

Artificial Intelligence (AI) struggles to create true-to-life images of people with amputations. Now amputees are teaching AI to be responsible and inclusive – with help from prosthetics manufacturer Ottobock and Microsoft.

Female African farmer standing in a crop field review data on a tablet
Articles

Why Africa’s Agriculture AI Must Listen Before It Speaks 

July 20, 2026

By Najeeb G. Abdulhamid¹, Elizabeth “Liz” Ankrah¹, Abiodun Ogunyemi², Mark Perry³, Merja Lina M. Bauters², Jona Repishti⁴, Steven Sam³, Samuel Chege Maina¹, Millicent Ochieng¹, Mercy Muchai¹, Stephanie Nyairo¹, Rikin Gandhi⁴, Jacki O’Neill¹ (see author affiliations) Reported extension worker to farmer…

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