The WSAI aims to bring all the ongoing efforts in AI at IIT Madras under one umbrella. The WSAI has several affiliated research centres and a vibrant research ecosystem, with interest groups focussing on exciting areas. Some of these are:
- RBCDSAI: The Robert Bosch Centre for Data Science and AI (RBCDSAI) was set up in 2017 and is the pre-eminent interdisciplinary research centre for Data Science and AI in India. It has one of the country’s largest active groups in network analytics, reinforcement learning groups, natural language processing and deep learning. This center has grown to encompass over 14 IIT Madras departments doing both foundational and applied work in AI. RBCDSAI has been a critical precursor to the development of WSAI.
- AI4Bharat: AI4Bharat is a research lab at IIT Madras that develops open-source applications for Indian languages. Over the past few years, the lab has done cutting-edge work in Indian language technology, which has been published in top conferences worldwide.
- IBSE: The Centre for Integrative Biology and Systems Medicine (IBSE), IIT Madras, is a Centre of Excellence at IIT Madras under the IoE program in areas of AI/ML in the analysis of biological and clinical data. IBSE is an interdisciplinary group dedicated to pioneering innovative approaches and algorithms that integrate multi-dimensional data across scales to understand, predict, and manipulate complex biological systems. By doing so, our goal is to advance the fundamental understanding of cells and their interactions as populations that collectively form intricate organs, thus facilitating the advancement of personalized medicine.
- CeRAI: The Centre for Responsible AI (CeRAI) is an interdisciplinary research centre for research in the domains of Ethical and Responsible AI and is fast becoming the standard body in the country to recommend guidelines and policies to make deployable AI models/ systems more accountable, explainable and responsible.
- Walmart Centre of Excellence: This new, upcoming centre will look at AI and Data Science applications in manufacturing. Stay tuned for more!