In the news | Rolls-Royce News
Technology breakthrough offers hope for people silenced by disability
Microsoft and other companies joined forces to help Rolls-Royce create new AI technology that will allow people with motor neurone disease (MND) to have a conversation in their own voice, even after they have lost the ability to speak.
In the news | Medium
Accelerating biodiversity surveys with Azure Machine Learning
Breaking the annotation logjam in wildlife surveys. Biodiversity is declining across the globe at a catastrophic rate. Conservation biologists are faced with the daunting — but urgent — task of surveying wildlife populations and making policy recommendations. What species need…
Making machines recognize and transcribe conversations in meetings using audio and video
| Takuya Yoshioka, Eyal Krupka, and Yifan Gong
The ability to perceive communication signals and make sense of them played an essential role in the evolution of human intelligence. Computing technology is following the same trajectory. Now, computer vision and automatic speech recognition (ASR) technologies have enabled the…
Next-generation architectures bridge gap between neural and symbolic representations with neural symbols
| Paul Smolensky
In both language and mathematics, symbols and their mutual relationships play a central role. The equation x = 1/y asserts the symbols x and y—that is, what they stand for—are related reciprocally; Kim saw the movie asserts that Kim and…
Awards | Microsoft
Interactive Consumption of Documents
FHL winners were announced. 10 winners from 1337 projects were declared, with Voice FHL team winning an award at E+D level. The hack comprised of people from Voice, Augmentation Loop, WAC, Calc and MSR. The cross-team built an amazing interactive…
In the news | Microsoft Research Blog
Next-generation architectures bridge gap between neural and symbolic representations with neural symbols
Our research group is working on the next-generation of AI architectures to realize the power of compositional symbolic computing in continuous, end-to-end deep neural networks.
FastSpeech: New text-to-speech model improves on speed, accuracy, and controllability
| Xu Tan
Text to speech (TTS) has attracted a lot of attention recently due to advancements in deep learning. Neural network-based TTS models (such as Tacotron 2, DeepVoice 3 and Transformer TTS) have outperformed conventional concatenative and statistical parametric approaches in terms…
Adaptive systems, machine learning and collaborative AI with Dr. Besmira Nushi
With all the buzz surrounding AI, it can be tempting to envision it as a stand-alone entity that optimizes for accuracy and displaces human capabilities. But Dr. Besmira Nushi, a senior researcher in the Adaptive Systems and Interaction group at…
Awards | Association for Computing Machinery (ACM)
Lidong Zhou named 2019 ACM Fellow
Lidong Zhou, Distinguished Scientist, has been named a 2019 ACM Fellow for his contributions to trustworthy distributed computing and to systems research and education in China. The accomplishments of the 2019 ACM Fellows underpin the technologies that define the digital age and…