Microsoft Research Lab – Asia
Nouvelles et reportages
Abstract With the rapid development of text matching and pre-training models, chatbot systems are now able to yield relevant and fluent responses but sometimes make mistakes in logic because of weak reasoning capabilities. To facilitate the research in this field,…
In the past few decades, the rapid progress of human industries and agriculture, the growth of the population, and harmful gases produced by human activities have caused serious air pollution and are endangering human health. In addition to causing lung diseases…
Real-time RGB-D 3D scanning has become widely used to progressively scan objects or scenes with a hand-held RGB-D camera, such as Microsoft Kinect. The depth stream from the camera is accumulated to a voxel grid that contains surface distance. The…
CodeXGLUE: A benchmark dataset and open challenge for code intelligence
According to Evans Data Corporation (opens in new tab), there are 23.9 million professional developers in 2019, and the population is expected to reach 28.7 million in 2024. With the growing population of developers, code intelligence, which aims to leverage…
Dans l’actualité | Microsoft Asia News Center
Research and innovation: understanding customers and upskilling workers
“I couldn’t live without my phone!” exclaims Jhu Wan Yu. The 27-year-old event planner is like many residents in Taiwan’s busy, tech-obsessed capital, Taipei. She does almost everything online and feels staying connected is essential. “I spend more than 10…
ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more
With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020), a number of which were presented in virtual workshops, Microsoft researchers are in full summer swing when it comes to advancing machine learning…
Dans l’actualité | Microsoft News Blog
MIND at work: News recommendation competition open to researchers and publishers
Put a battery-operated talking unicorn in your online shopping cart, and you may get an alert suggested some AA cells to juice up the conversation. Binge-watch a few action movies and you may see titles of martial arts cinema fill…
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…
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.…