Microsoft Research

The Research Faculty Summit 2018 will bring together leaders and researchers from the broad systems research area in computer science.

The Research Faculty Summit 2018 will bring together leaders and researchers from the broad systems research area in computer science.

The fact that many commonly used networks take hours to days for training has motivated recent research towards reducing training time.

Episode 37 |

Increasing availability of the data, coupled with breakthroughs in Machine Learning and AI, have raised the ambitions of the enterprises to exploit insights from data to transform their businesses.

Episode 36 |

Top Microsoft Research executives and interns comment on the contributions interns make and the opportunities they have to work with some of the world's top researchers.

Many IoT analytics tasks require accurate estimates of metrics for many applications such as heavy hitters, anomaly detection (e.g., entropy of source addresses), and security (e.g., DoS detection).

Read more at: po.st/VUFnvY A Microsoft AI judges if you crack a smile during a Laugh Battle at the National Comedy Center, the nation’s first museum dedicated to the culture of comedy.

This talk describes the growing role of machine learning in battery-powered wireless sensor networks being deployed in rural and urban areas for environmental and wildlife projection.

The Internet of Things (IoT) is poised to revolutionize our world.

The Indian government is attempting an ambitious aspirational move to “smarten” India’s cities. We do a deep dive analysis of a recent RFP for the same, which has been put out by the city of Agra.

Microsoft Research has an on-going pilot in Bellevue, Washington for active traffic monitoring of traffic intersections live 24X7.

Data in traditional “caching” data systems resides on secondary storage, and is read into main memory only when operated on. This limits system performance.

The Energy vertical is going through a paradigm shift from centralised conventional generation and distributed consumption to non-conventional distributed generation (with renewables and battery

The Internet of Things (IoT) is poised to revolutionize our world.

As we are building smart energy infrastructure that includes various forms of hybrid energy resources including electric vehicles, solar, battery storage etc., it firstly requires data to be

The Internet of Things (IoT) is poised to revolutionize our world.

I will be talking about some of my recent work on reconstructing faces, materials and 360 environments from images and videos.

Machine learning can impact people with legal or ethical consequences when it is used to automate decisions in areas such as insurance, lending, hiring, and predictive policing.

Emerging intelligent bump-in-the-wire network adapters, iNICs, are increasingly deployed for accelerating custom network functions in large-scale data center and cloud environments such as Microsoft

Understanding how to model vision and language jointly is a long-standing challenge in artificial intelligence.

A key challenge in scaling network control and data planes is to maintain access to shared state without comprimising performance.

It is well known that momentum gradient methods (e.g., Polyak's heavy ball, Nesterov's acceleration) yield significant improvements over vanilla gradient descent in deterministic optimization (i.e.

Most shape analysis methods use meshes to discretize the shape and functions on it by piecewise linear functions.

3D hand pose is challenging due to complicated variations caused by high Degree of Freedom articulations, multiple viewpoints, self-similar parts, severe self-occlusions, different shapes, and sizes.

I will present a new data compression algorithm that compresses human text more effectively than all current variants of PPM, CTW, DMC, LZ (Lempel-Ziv), LZMA, CSE and BWT.

Automatic differentiation (AD) in reverse mode (RAD) is a central component of deep learning and other uses of large-scale optimization.

Coinduction is a powerful technique for reasoning about unfounded sets, unbounded structures, infinite automata, and interactive computations.

Episode 35 | August 1, 2018 Dr. Lenin Ravindranath Sivalingam is a researcher by trade, but by nature, he’s an entrepreneur, and a hacker with a heart of gold.