By Judy Hanwen Shen, AI Resident Amid this era of social distancing, people often say that there’s only three days of the week now: yesterday, today, and tomorrow. But, actually, there’s also Thursday, the day we have our weekly AI…
In the news | Microsoft News Center
Microsoft Azure will become the preferred cloud platform for Johns Hopkins inHealth precision medicine initiative
On Thursday, Microsoft Corp. and Johns Hopkins Medicine (JHM) announced a five-year relationship centered on Microsoft’s Azure and analytical tools that will support new discoveries as part of JHM’s inHealth precision medicine initiative. The work will bring together JHM’s leading…
In the news | VentureBeat
AI model uses smartphone location data to predict power grid usage
In a paper published on the preprint server Arxiv.org, Microsoft and the University of Washington researchers propose an AI system that uses smartphone location data to forecast electrical load. They say their architecture, which takes into account data from geographical…
High-Resolution Network: A universal neural architecture for visual recognition
Since AlexNet was invented in 2012, there has been rapid development in convolutional neural network architectures in computer vision. Representative architectures (Figure 1) include GoogleNet (2014), VGGNet (2014), ResNet (2015), and DenseNet (2016), which are developed initially from image classification.…
2020 Microsoft Research Dissertation Grant supports students’ cutting-edge work
| Meredith Ringel Morris
This year marks the fourth year of the Microsoft Research Dissertation Grant, which offers grants of up to $25,000 to support the research of students nearing the completion of doctoral degrees at North American universities who are underrepresented in the…
Accessible systems for sign language computation with Dr. Danielle Bragg
Many computer science researchers set their sights on building general AI technologies that could impact hundreds of millions – or even billions – of people. But Dr. Danielle Bragg, a senior researcher at MSR’s New England lab, has a slightly…
How data scientists and researchers are helping Microsoft product groups adapt during COVID-19
Since the onset of the COVID-19 pandemic, data scientists and user researchers have been partnering with the Education product team to help them better understand what is happening with teaching and learning in remote settings.
Learning local and compositional representations for zero-shot learning
| Tristan Sylvain, Devon Hjelm, and Linda Petrini
In computer vision, one key property we expect of an intelligent artificial model, agent, or algorithm is that it should be able to correctly recognize the type, or class, of objects it encounters. This is critical in numerous important real-world…