Microsoft Research Lab – India
项目
High-stakes decision-making in areas like healthcare, finance and governance requires accountability for decisions and for how data is used in making decisions. Many concerns have been raised about whether machine learning (ML) models can meet these expectations. In many cases,…
xtreme classification is a rapidly growing research area in computer vision focusing on multi-class and multi-label problems involving an extremely large number of labels (ranging from thousands to billions).
成立:
Large Language Models meet Program Synthesis Large pre-trained language models such as GPT-3, Codex, and Google’s language model are now capable of generating code from natural language specifications of programmer intent. We view these developments with a mixture of optimism…
成立:
A cloud and satellite-based CDN that delivers online content and services to the underserved through a human in the loop (e.g., a kiosk or small local retailer/SMB) to cover the last-mile content and internet-centric services delivery.
Classical algorithms (exact/ approximation) work with an input which is entirely specified up front. While this offline model is useful for static optimization problems, there are several domains which need algorithms to make decisions with partial/uncertain information which evolves over…
Keratoconus is a severe eye disease affecting the cornea (the clear, dome-shaped outer surface of the eye), causing it to become thin and develop a conical bulge. If not treated in time, keratoconus can lead to near-complete blindness. The diagnosis…
Vasudha is a collection of projects that offer AI and IoT-enabled technology solutions to drive sustainability goals. This includes developing Vision AI algorithms for solar panel quality assurance or optimization and multi-agent simulations for renewable control decisions under uncertainties.
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.