Microsoft Research

Artificial intelligence has the potential to improve productivity throughout the workplace by leveraging how people communicate to proactively connect a person to the right people and information.

Crowd, Cloud and the Future of Work: Welcome and Updates from Microsoft Research in human AI research The Future of Work includes innovating on models that allow scaling out complex problems to

Episode 86 | August 21, 2019 The ability to read and understand unstructured text, and then answer questions about it, is a common skill among literate humans. But for machines? Not so much.

Emerging technologies like artificial intelligence and mixed reality have the potential to upend the way we create, work, and interact with one another.

Microsoft Research India has established a center for Societal impact through Cloud and Artificial Intelligence (SCAI).

Algorithmic Improvisation, also called control improvisation, is a new framework for automatically synthesizing systems with random but controllable behavior.

In this era of “Internet of Code”, data and metadata around open source projects are available in abundance.

The spreadsheet has continually evolved to remain at the forefront of productivity tools and work practices for over forty years.

The workforce of the future will have to be creative and innovative, rather than merely good at performing specific tasks.

Automatic differentiation is an elegant technique for converting a computable function expressed as a program into a derivative-computing program with similar time complexity.

Workers of the World, Connect!

With the advent of machine learning techniques, programmer productivity is poised to significantly improve.

We’re on a path to a future where artificial intelligence (AI) and humans collaborate; one could argue that time is already here.

Microsoft’s Quantum development kit (QDK) and its programing language, Q#, are poised to empower both research and education in quantum computing and quantum programming.

Automation, digital platforms, and AI are changing the fundamental nature of work.

Transforming Our Future - Quantum Computing and Workforce, Curriculum, and Application Development workshop Case study: Quantum computing curriculum developed with the University of Washington

Transforming Our Future - Quantum Computing and Workforce, Curriculum, and Application Development: An overview and access to hands-on, software-driven curriculum An overview and access to

Transforming Our Future - Quantum Computing and Workforce, Curriculum, and Application Development: Insight into real-world quantum applications We will share results of a partnership with a

Transforming Our Future - Quantum Computing and Workforce, Curriculum, and Application Development: An overview of quantum computing A brief landscape discussion that includes an overview of

Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious correlations, and false generalizations.

Episode 85 | August 14, 2019 In an era of unprecedented advances in AI and machine learning, current gen systems and networks are being challenged by an unprecedented level of complexity and cost.

In today’s world, people have to attend to a number of tasks near simultaneously, and with the widespread use of mobile devices, tasks can be tackled almost anywhere at any time.

PowerPoint now includes AI technologies to help people create better presentations and become better presenters.

We present SeeingVR, which enables users with low vision to better enjoy VR and complete tasks more quickly and accurately.

Scheduling meetings is tedious. It gets even more challenging when people use different calendaring systems or meet across different time zones.

See how researchers from the Heart Research Institute collaborate in real-time on documents, meet online and chat with confidence their intellectual property is protected using Microsoft Teams.

We are seeing a shift in the way people work and collaborate across spaces and locations.

PROSE (PROgram Synthesis using Examples) is a program synthesis technology that can generate programs from a few input-output examples.

The goal of Project Alava is to enable the easy construction, programming and debugging of microcontroller-based systems, followed by refinement to an optimized realization.

People with visual impairments are expert users of audio interfaces, including voice-activated virtual assistants and screen readers.