IIT Madras collaborates with Taylor & Francis Group to amplify research

India has the ‘highest relative AI skill penetration rate’ in the world according to the Stanford University Artificial Index Report 2021, and it’s also ranked as one of the top five countries for growth in AI hiring. 

The Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) at Indian Institute of Technology (IIT) Madras has collaborated with Taylor & Francis Group with 28 faculty spanning 10 departments.  

Prof Balaraman Ravindran, head of RBCDSAI, said, “The current pandemic has highlighted the importance of openness and collaboration in the scholarly publishing industry to share research more efficiently. The collaboration will give RBCDSAI more visibility for our research as well as support services and guidance for our authors on publishing. Researchers at the centre will also be able to avail of onboarding assistance on publishing processes, open practices, research promotion and ongoing support from the knowledgeable Taylor & Francis team.” 

“As part of this partnership, we will be able to provide our society and association partners with information, advice, and exclusive benefits to serve their authors and members,” says Dr Gagandeep Singh, Senior Publisher (Engineering), CRC Press. 

“India has the ‘highest relative AI skill penetration rate’ in the world according to the Stanford University Artificial Index Report 2021, and it’s also ranked as one of the top five countries for growth in AI hiring. This is an incredible opportunity for Taylor & Francis to partner with an organisation that is helping India to become a global leader. We anticipate that this co-branded organic commissioning programme from this world leading institute will result in an exchange of ideas, concerns and best practices in scholarly publishing that will be mutually beneficial,” said Dr Gagandeep. 

Taylor & Francis’ growing list of outstanding titles in artificial intelligence and machine learning range from fundamental and theoretical concepts to advanced applications. The collection explores safety, security, and ethical concerns in AI and machine learning, as well as cutting edge topics, such as deep learning, autonomous vehicles, autonomous networks, and robotics.  

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