Webinar: Designing Computer Vision Algorithms to Describe the Visual World to People Who Are Blind or Low Vision
A common goal in computer vision research is to build machines that can replicate the human vision system (for example, detect an object or scene category, describe an object or scene, or locate an object).…
Neural Learning To Rank by Bhaskar Mitra (Guest lecture at Emory University)
Learning to rank (LTR) for information retrieval (IR) involves the application of machine learning models to rank artifacts, such as items to be recommended, in response to user’s need. LTR models typically employ training data,…
Research Collection: Research Supporting Responsible AI
Microsoft is committed to the advancement and use of AI grounded in principles that put people first and benefit society. We are putting these principles into practice throughout the company by embracing diverse perspectives, fostering…
How research can enable more effective remote work
Due to recent events, millions of office workers have needed to rapidly adjust to working from home—learning new collaboration tools and best practices, re-thinking how to stay connected with colleagues outside the office, and adapting…
A deep generative model trifecta: Three advances that work towards harnessing large-scale power
One of the core aspirations in artificial intelligence is to develop algorithms and techniques that endow computers with an ability to synthesize the observed data in our world. Every time researchers build a model to…