Presented by Aseem Rastogi and Pantazis Deligiannis at Microsoft Research Forum, Episode 5 Aseem Rastogi, Principal Researcher, and Pantazis Deligiannis, Principal Research Engineer from Microsoft Research FoSSE (Future of Scalable Software Engineering) discuss the technical results from ICSE’2025…
In this issue: A new approach to multimodal pretraining for remote sensing; Managed-retention memory for the AI era; Improving detection of macular telangiectasia type 2; Generalizing symbolic automata.
Struggles with programming languages helped research manager Shan Lu find her calling as a bug hunter. She discusses one bug that really haunted her, the thousands she’s identified since, and how she’s turning to LLMs…
In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow.
As Retrieval-Augmented Generation (RAG) systems gain prominence for grounding large language models (LLMs) in external knowledge, constructing evaluation frameworks is critical in accelerating developments across multiple diverse languages. This talk introduces a comprehensive multilingual RAG…
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.
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…
