Microsoft Research Lab – India
Projets
Designing and developing a system to improve the transparency of operations and monetary flow within the philanthropic sector, while also aiding the efficiency and productivity of NGOs.
Through this project we hope to provide an effective tool to both policy makers and the general public to address air pollution and work toward cleaner air and healthier citizens.
Through our drive-by air pollution sensing research project, we are enabling cost-efficient collection of granular spatiotemporal pollution data through drive-by sensing.
Through this interactive machine translation tool, we hope to not only provide help for human-aided translations for underserved languages but also for certain use cases for highly resourced languages where a human in the loop can help aid translation activities.
Établi:
The goal of Project LITMUS is to discover strategies to evaluate massive multilingual models and also suggest data collection and training strategies to improve the performance of these models.
Our goal is to provide a simple and easy way to (i) remotely measure and observe the health of a sensor, and (ii) empower users to specify their acceptable data quality threshold driven by the application requirements.
Établi:
Blockene is a blockchain architecture that reduces resource usage at member nodes by orders of magnitude, requiring only a smartphone to participate in block validation and consensus. Despite being lightweight, Blockene provides high throughput and scales to millions of participants.…
Établi:
In the iBox project, we focus on the goal of “learning the network” to recreate real-world, end-to-end network path behaviour, based on input-output packet trace telemetry.
Aggify is a technique for optimizing loops over query results that overcomes these overheads, completely eliminating the loop by rewriting the query to use this generated aggregate.