Microsoft Research

Meet some of 2021 global PhD Fellowship recipients from around the world. See more at microsoft.com/en-us/research/video/microsoft-research-2021-global-phd-fellowship-recipients

On an 8,000-acre family farm in Eastern Washington, Microsoft Research helps deploy precision agriculture, putting AI and powerful data analysis tools in the hands of an eighth-generation farmer

Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research. Watch the video to find out more about our culture, ambition and research themes.

Episode 010 | September 28, 2021 Artificial intelligence, Machine Learning, Deep Learning, and Deep Neural Networks are today critical to the success of many industries.

The Ultimate Flexible Workstation?

HapticBots introduces a novel encountered-type haptic approach for Virtual Reality (VR) based on multiple tabletop-size shape-changing robots.

X-Rings is a novel hand-mounted 360-degree shape display for Virtual Reality that renders objects in 3D and responds to user-applied touch and grasping force.

Microsoft Sponsor Session at ICCV 2021 featuring speakers: Han Hu, Principal Researcher, Microsoft Research Asia Li Dong, Senior Researcher, Microsoft Research Asia

In this talk I will present my current and future work towards enabling safe real-world autonomy.

Recorded on September 22, 2021 Speaker: Dr.

We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.

Pre-trained representations are becoming crucial for many NLP and perception tasks.

In this talk, I will introduce our recent work about ViLD, a training method via Vision and Language knowledge Distillation.

In this talk, I am going to cover three of our recent explorations on pre-training.

The goal of Computer Vision, as coined by Marr, is to develop algorithms to answer What are Where at When from visual appearance.

Any dataset has bias, as the data collection will be intervened by human bias and affected by the nature’s biased law.

Advances in deep learning keep producing impressive results at the junction of computer vision and natural language processing.

Multi-modal reasoning systems rely on a pre-trained object detector to extract regions of interest from the image.

As humans, we parse language and visual scenes -- often together -- into a rich understanding of what is going on in the world.

Remarkable progress has been made at the intersection of vision and language.

Deep learning has brought tremendous progress to visual recognition, thanks to big labeled data and fast compute.

Multi-modal data provides an exciting opportunity to train grounded generative models that synthesize images consistent with real world phenomena.

Recorded on August 18, 2021 Speaker: Dr. Ruha Benjamin, Professor of African American studies at Princeton University, founding director of the Ida B.

Shape displays enable people to touch simulated surfaces. A common architecture of such devices uses a mechatronic pin-matrix.

Episode 009 | June 15, 2021 The Internet of Things has been around for a few years now and many businesses and organizations depend on data from these systems to make critical decisions.

The Lookout project was an early exploration of the promise of machine learning, mixed-initiative interaction, and multimodal interaction as a foundation for intelligent services.

The tech industry is being called upon to develop and deploy AI technologies more responsibly.

Recorded on July 28, 2021 Speaker: Dr.

Microsoft Research has partnered with JCDecaux and Array of Things to deploy over 100 low-cost air pollution sensors across the city of Chicago to create the densest real-time air quality monitoring

Recorded on June 30, 2021 Speaker: Dr.