Below please find an index of news and awards that recognize Microsoft researchers’ contribution to scientific research and commitment to advancing computer science.
Intelligent experiences powered by machine learning can seem like magic to users. Developing them, however, can be anything but. Consider this “simple” tutorial chart from the scikit-learn machine learning library…
Researchers from Tilburg University, McGill University, and Microsoft Research built text adventure worlds with Inform 7 as part of an experiment in reinforcement learning.
Microsoft has several new additions to its Azure ML offering for machine learning, including better integration with Python and automated self-tuning features for faster model development.
Microsoft announced a number of new AI services for the workplace, including new ways to speed the training of AI systems, custom Cortana voice apps for the enterprise, and a new service for the automated…
With today’s update, this platform is getting a new tool that automates much of the time-consuming selection, testing and tweaking as necessary to build a solid model, to allow any developer to build and use…
The tedious but necessary process of selecting, testing and tweaking machine learning models that power many of today’s artificial intelligence systems was proving too time-consuming for Nicolo Fusi. The final straw for the Microsoft researcher…
Its automated machine learning service is designed to steer artificial intelligence jobs away from potholes and dead ends.
The new features include tools to automate the process of building a machine learning model, by helping to identify the most efficient algorithms to make a prediction and optimize the performance of the trained model.
Today, Microsoft announced the establishment of Microsoft Research Asia-Shanghai and the Microsoft-INESA AI Innovation Center at the Shanghai Xuhui District, bringing world-class artificial intelligence (AI) research capabilities to the city.
