Microsoft Research has released an open dataset providing approximate transmission topology of the U.S. power grid, constructed entirely from publicly available data such as OpenStreetMap and EIA statistics. This work addresses the difficulty researchers face when accessing critical infrastructure information by providing geographically grounded and electrically coherent models that support AC optimal power flow (AC-OPF) analysis. The pipeline allows for large-scale studies ranging from individual states to the entire Eastern Interconnection, enabling physics-based investigations into grid resilience and capacity without relying on proprietary datasets.
Weiwei Yang's research focuses on resource-efficient alt-SGD ML methods inspired by biological learning, aimed at democratizing AI by addressing sustainability, robustness, scalability, and efficiency in ML.
This blog post introduces the Semantic Telemetry project at Microsoft Research, which uses a data science approach to analyze how people interact with AI systems, specifically focusing on Copilot in Bing usage. It discusses the complexity of human-AI interactions and how they differ from traditional search.
- Topics: Copilot in Bing chats were analyzed for topic categorization. Technology (21%) was the most common topic, followed by Entertainment (12.8%), Health (11%), and others. Within technology, programming and scripting were prominent subtopics.
- Platform Differences: Mobile users tend to use Copilot for personal tasks, while desktop users engage in more professional activities.
- Topics: Copilot in Bing chats were analyzed for topic categorization. Technology (21%) was the most common topic, followed by Entertainment (12.8%), Health (11%), and others. Within technology, programming and scripting were prominent subtopics.
- Platform Differences: Mobile users tend to use Copilot for personal tasks, while desktop users engage in more professional activities.
