Researchers at the Indian Institute of Technology (IIT) Madras are working on two projects that use artificial intelligence and data analytics to improve learning outcomes for students.
Data Science, ML, AI are the flavors of the season all over the world and India is no exception. Interest in these techniques is at a fever pitch; academicians and industrial practitioners alike are exploring the fundamental underpinnings and application potential of these techniques. As a result, data science is being evaluated for implementation in all imaginable fields and sub-fields. Sports is one such area with tremendous potential for data science applications.
Indian Institute of Technology Madras Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), one of the premier AI Research Groups in the country, is looking to help manufacturing and automotive sectors to increase AI adoption in the industry. Towards this, the Second RBCDSAI AI/ML Conclave on manufacturing and automotive applications was organized at IIT Madras today on Aug 29, 2019, jointly by RBCDSAI and Latent View Analytics.
The scenario for the Hackathon involved an Indian Smart City's Traffic Police Department which wishes to use Machine Learning/Artificial Intelligence techniques to solve their traffic crisis.
Indian Institute of Technology Madras-Robert Bosch Centre for Data Science and Artificial(RBCDSAI) hosted a Colloquium on 'Artificial Intelligence - A Priority for India' on April 22, 2019, bringing together leading researchers, academics, policymakers and industry leaders in India to understand and deliberate on the state of research and innovation in AI and Machine Learning in the country.It also focused on arriving at actionable programmes for the Indian AI ecosystem to contribute, collaborate and co-create.
It is being held jointly with Web Science Trust, which fosters web science studies around the world & coordinates a global network of laboratories.
The Robert Bosch Center for Data Science and Artificial Intelligence (RBC-DSAI) was inaugurated at the Indian Institute of Technology (IIT) Madras.
The mission of Shaastra AI Challenge is to create solutions and initiatives in AI, that will contribute to the social good and address the needs and challenges faced by humanity.
The Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras, organized the ‘Artificial Intelligence and Machine Learning Conclave’ focused on understand cutting-edge technology and innovation in the field with participation from top technology firms and think-tanks including Google, Amazon, Foxconn and TVS group among others.
Indian Institute of Technology Madras, Tuesday signed a memorandum of understanding with the Tamil Nadu e-Governance Agency here, to enhance data driven governence in education, health care and agriculture sectors.
Professor Ravindran B, who heads the Robert Bosch Centre for Data Science and Artificial Intelligence at IIT-Madras, said: “We have worked on building AI based decision-making algorithms that allow us to adaptively learn controllers for driving. In particular, our group has explored the question of learning from demonstrations. These are largely laboratory experiments and have not yet been translated into real systems.”
The Dvara Group (formerly IFMR Trust) has entered into a Memorandum of Understanding with The Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) at IIT Madras. Read More
by Aarthi Ravikrishnan and Karthik Raman
ACCS, the Advanced Computing and Communications Society, announced Prof. V. Kamakoti of the Indian Institute of Technology Madras as the winner of the prestigious ACCS-CDAC Foundation award for 2018.
Researchers at the Robert Bosch Center for Data Science and Artificial Intelligence and Center for Computational Brain Research, Indian Institute of Technology Madras, and Purdue University have recently developed a new method of reducing computational requirements for object detection in videos using neural networks. Their technique, called Pack and Detect (PaD), was outlined in a paper pre-published on arXiv.