With their work-from-home guidance stretching into another month, Information Workers (IWs) are facing numerous challenges with their ability to communicate effectively with their teams. Since collaboration is central to IWs daily productivity and engagement, a team of user researchers studied…
Enhancing your photos through artificial intelligence
The amount of visual data we accumulate around the world is mind boggling. However, not all the images are captured by high-end DSLR cameras, and very often they suffer from imperfections. It is of tremendous benefit to save those degraded…
In the news | UCL News
New technique may enable all-optical data-centre networks
A new technique that synchronises the clocks of computers in under a billionth of a second can eliminate one of the hurdles for the deployment of all-optical networks, potentially leading to more efficient data centres, according to a new study…
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…