뉴스 & 기능
Research Focus: Week of March 27, 2023
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Machine translation (MT) models are designed to learn from large amounts of data…
뉴스에서 | TechRepublic
Microsoft is teaching computers to understand cause and effect
Causal machine learning with Microsoft’s next-best-question model could replace AB testing to help you make better business decisions. AI that analyzes data to help you make decisions is set to be an increasingly big part of business tools, and the…
뉴스에서 | Microsoft AI Blog
Online math tutoring service uses AI to help boost students’ skills and confidence
Online math tutoring service uses AI to help boost students’ skills and confidence – The AI Blog (microsoft.com) highlights the use of causal ML models developed by researchers at the Microsoft Research Cambridge Lab by a UK-based online tutoring service,…
Icebreaker: New model with novel element-wise information acquisition method reduces cost and data needed to train machine learning models
| Cheng Zhang 그리고 Sebastian Tschiatschek
In many real-life scenarios, obtaining information is costly, and getting fully observed data is almost impossible. For example, in the recruiting world, obtaining relevant information (in other words, a feature value) for a company could mean performing time-consuming interviews. The…