Microsoft Research 2019 reflection—a year of progress on technology’s toughest challenges
Highlights:
* MT-DNN — a model for learning universal language embeddings that combines the multi-task learning and the language model pre-training of BERT.
* Guidelines for human-AI interaction design
* AirSim, coming from strong MS background with flight simulations, for AI realisting testing environment.
* Sand Dance, a data visualization tool included in Visual Studio Code
* Icecaps — a toolkit for conversation modeling
Link: https://www.microsoft.com/en-us/research/blog/microsoft-research-2019-reflection-a-year-of-progress-on-technologys-toughest-challenges/
#microsoft #yearinreview
Highlights:
* MT-DNN — a model for learning universal language embeddings that combines the multi-task learning and the language model pre-training of BERT.
* Guidelines for human-AI interaction design
* AirSim, coming from strong MS background with flight simulations, for AI realisting testing environment.
* Sand Dance, a data visualization tool included in Visual Studio Code
* Icecaps — a toolkit for conversation modeling
Link: https://www.microsoft.com/en-us/research/blog/microsoft-research-2019-reflection-a-year-of-progress-on-technologys-toughest-challenges/
#microsoft #yearinreview
Microsoft Research
Microsoft Research 2019 reflection—a year of progress on technology’s toughest challenges
In 2019, Microsoft researchers assembled guidelines for human-AI interaction design, explored gender bias in machine learning, and created numerous technologies that improved accessibility. Learn how these advances emphasize inclusivity.