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Microsoft Research Cambridge

新闻与深度文章

Graphic shows framework of Privacy Preserving Machine Learning
微软研究院博客

| Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Köpf, Jaime Teevan, Jim Kleewein, 和 Saravan Rajmohan

Machine learning (ML) offers tremendous opportunities to increase productivity. However, ML systems are only as good as the quality of the data that informs the training of ML models. And training ML models requires a significant amount of data, more…

On left, text reads ORBIT benchmark dataset: 77 blind and low-vision collectors, 486 objects, 3822 videos, and 2687934 frames. On right, a graphic of a face mask with a line that connects to a picture of a cloth mask with a black and white zig-zag pattern. The line reads seven to eight videos per object. Below the face mask graphic, there are three yellow objects resembling a watering can, a key, and a comb. A line next to these reads two to ten objects per user. The objects are falling into a green bucket, with a line to the right of the bucket that reads user’s bucket.
微软研究院博客

| Daniela Massiceti, Cecily Morrison, Katja Hofmann, 和 Ed Cutrell

Object recognition systems have made spectacular advances in recent years, but they rely on training datasets with thousands of high-quality, labelled examples per object category. Learning new objects from only a few examples could open the door to many new…

Daniela Massiceti Summit Talk

新闻报道 | Microsoft Research Summit

We’re entering a technological era that is all about “me”—from personalized shopping recommendations to avatars, and even bespoke healthcare treatments. Deeper inspection of artificial intelligence (AI) systems, however, reveals that “me” is not really me. The coarse-grained ways that AI…

Graphic shows abstract image of 3D shape and text displays
微软研究院博客

| Ashley Llorens

For 30 years, Microsoft Research has brought together great minds from around the world to take on the biggest research challenges facing society. As we enter our fourth decade, the need for collaborative research—and the opportunities it presents—have never been…

Two people side by side, Max Welling on the left and Chris Bishop on the right, in black and white smile and look forward.
微软研究院播客

In this episode, Chris Bishop, Lab Director of Microsoft Research Cambridge, welcomes renowned machine learning researcher Max Welling to the Microsoft Research team as head of the new Amsterdam lab. Connecting over their shared physics background and vision for molecular…

a man wearing glasses and smiling at the camera

新闻报道 | GeekWire

Microsoft Research will open a new lab in Amsterdam led by Max Welling, a physicist who specializes in molecular simulation, looking to further unlock the potential of machine learning in areas such as climate change and healthcare. The company announced the…

奖项 | ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Christian Bird, Brendan Murphy received the Test of Time Award for ESEC/FSE 2021 for their 2011 paper, Don’t Touch My Code! Examining the Effects of Ownership on Software Quality. The Test of Time Award is given annually recognizing highly influential…

Figure 2: A flowchart depicting unstructured text being processed though a query engine, a probabilistic parser, and probabilistic clustering to produce a unified knowledge base

新闻报道 | VentureBeat

In 2014, Microsoft launched Project Alexandria, a research effort within its Cambridge research division dedicated to discovering entities — topics of information — and their associated properties. Building on the research lab’s work in knowledge mining research using probabilistic programming,…

奖项 | CVPR 2021

Jamie Shotton, Andrew Fitzgibbon, Toby Sharp, Mark Finocchio, Alex Kipman and Andrew Blake received the Longuet-Higgins prize for their paper, Real-Time Human Pose Recognition in Parts from Single Depth Images. The annual Longuet-Higgins prize is presented by the IEEE Pattern…