Microsoft Research Lab – India
项目
成立:
The main objective of DiCE is to explain the predictions of ML-based systems that are used to inform decisions in societally critical domains such as finance, healthcare, education, and criminal justice. In these domains, it is important to provide explanations…
成立:
One of the biggest healthcare problems facing the world today is mental illness. In the “moments of change” project, we are exploring how technology can play a role in connecting people in need to mental health professionals.
Learn2Earn is a project that encourages learning through incentives that are delivered using a mobile phone.
成立:
Today’s computing systems can be thought of as interventions in people’s work and daily lives. But what are the outcomes of these interventions, and how can we tune these systems for desired outcomes? In this project we are building methods…
Froid is an extensible, language-agnostic framework for optimizing imperative functions in databases. The purpose of Froid is to enable developers to use the abstraction of UDFs without compromising on performance.
成立:
Ludic Design for Accessibility (LDA) that puts play and playfulness at the center of all assistive technology design and use.
成立:
Gandiva is a cluster scheduling framework that utilizes domain-specific knowledge of deep learning to improve the efficiency of training deep learning models in a GPU cluster.
成立:
Astra is a compilation and execution framework that optimizes execution of a deep learning training job. Instead of treating the computation as a generic data flow graph, Astra exploits domain knowledge about deep learning training to adopt a custom approach…
成立:
Instalytics (Intelligent Store-powered Analytics) is a vertically integrated infrastructure stack that enables efficient big data analytics in large-scale data centers, by careful co-design of the storage layer (cluster file system) with the compute layer (query engine and job scheduler).