Microsoft Research

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research

Selfish behavior can often lead to a suboptimal outcome for all participants, a phenomenon illustrated by many classical examples in game theory.

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research

Many theorems in economics can be proven (and hypotheses shown to be false) with available decision algorithms.

Algorithms are sometimes used in strategic or noisy environments. These factors can completely change the solutions of the problems. In this talk, I am going to talk about two projects.

With today’s abundance of data, probabilistic models have an opportunity to answer fundamental questions about human behavior and interactions.

User interaction data is at the heart of interactive machine learning systems (IMLSs), such as voice-activated digital assistants, e-commerce destinations, news content hubs, and movie streaming

Episode 13 | February 21, 2018 Today, Dr. Criminisi talks about Project InnerEye, an innovative machine learning tool that helps radiologists identify and analyze 3-D images of cancerous tumors.

Team member Darrin Eide explains how he uses Microsoft Academic to learn about a medical condition that affects his family.

Episode 14 | February 28, 2018 Today, Dr.

“Soundscape fills in a lot of the mental map as you move, making it effortless and seamless to know what’s around you,” highlights Erin Lauridsen of Lighthouse for the Blind in San Francisco.

“Soundscape is all about giving you choice.

“Soundscape is all about giving you choice.

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research

We present Haptic Links, electro-mechanically actuated physical connections capable of rendering variable stiffness between two commodity handheld virtual reality (VR) controllers.

We designed and developed a “crowdcasting” prototype to enable remote people to participate in a live event through a collection of live streams coming from the event.

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research

Cardiography, quantitative measurement of the functioning of the heart, traditionally requires customized obtrusive contact sensors.

Learn how Microsoft Translator can be used to help teachers better communicate with students who are non-native speakers, deaf or hard of hearing, dyslexic, or having trouble taking notes.

Learn how Microsoft Translator can be used to engage parents with their children's teachers and school community by providing real-time language translation for parent-teacher conferences.

In today’s era of increased engagement with technology, the myriad interactive and latency-sensitive applications around us necessitate handling large-scale data quickly and efficiently.

Episode 11 |

One of the main challenges for AI remains unsupervised learning, at which humans are much better than machines, and which we link to another challenge: bringing deep learning to higher-level

Developing reliable numerical software has traditionally been a tedious process which requires significant expertise.

Stochastic gradient-based methods are the state-of-the-art in large-scale machine learning optimization due to their extremely efficient per-iteration computational cost.

Facility location problems arise in a wide range of applications such as plant or warehouse location problems and network design problems, and have been widely studied in Computer Science and

Computer Vision has achieved tremendous progress in recent years.

In this talk I will discuss the power of simple, randomized methods such as hashing, importance sampling, and stochastic iteration in data science and machine learning.