Projects
The goal of ELLORA is to impact underserved communities through enabling language technology by creating economic opportunities, building technological skills, enhancing education and preserving local language and cultures for future generations.
Established:
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…
EdgeML is an open source machine learning library for enabling privacy-preserving, energy-efficient, off-the-grid intelligence in low-resource computing devices.
Established:
We are re-thinking how systems can be designed to empower Artificial Intelligence (AI)/Deep learning researchers, developers and users. Deep Learning Model Training One example is the Gandiva cluster scheduler project. Deep learning training jobs are compute-hungry. Thus, they are typically…
Established:
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.
Kahani: Visual Storytelling is a research prototype that allows the user to create visually striking and culturally nuanced images just by describing them in their local languages.
Established:
Children with disabilities (CwDs) are among the most marginalized sections of India. Good quality access to early education and introduction to digital technologies empowers these children and prepares them for better opportunities for learning, education, and good careers. Many of…
Through our drive-by air pollution sensing research project, we are enabling cost-efficient collection of granular spatiotemporal pollution data through drive-by sensing.
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…