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Top Indian University-Industry Partnerships For AI In 2021

The following is a list of the leading research laboratories in Indian institutions that are advancing and innovating in artificial intelligence.

Top Indian University-Industry Partnerships For AI In 2021

Key takeaways

  • AI and machine learning are transforming many areas of human activity and require skilled talent and a supportive environment.
  • IIT Madras is collaborating with Taylor & Francis Group to enhance research in data science and AI.
  • The Indian Institute of Science is partnering with Kotak Mahindra Bank to establish a dedicated AI-ML Centre.
  • The Kotak-IISc AI-ML Centre will offer various educational programmes and promote research in artificial intelligence.
  • Such partnerships between universities and industry are crucial for advancing AI innovation in India.

Takeaways drafted with AI from the article text.

Artificial intelligence (AI) and machine learning (ML) are reshaping virtually every facet of human endeavour. However, these technologies must be nurtured by talent and a creative atmosphere to attain their full potential.

Leading artificial intelligence centres in India's top institutions are listed below.

IIT Madras join up with Taylor & Francis Group

Taylor & Francis Group has teamed with the IIT Madras Robert Bosch Centre for Data Science and AI to accelerate research. Dr Gagandeep Singh, Senior Publisher, CRC Press, stated that "We hope that this co-branded organic commissioning project from this internationally renowned institute will result in a mutually beneficial exchange of ideas, issues, and best practices; in scholarly publication."

IISc with KMBL

In partnership with Kotak Mahindra Bank Limited, the Indian Institute of Science (IISc) has announced intentions to establish a state-of-the-art AI and AL (AI-ML) Center (KMBL).

The new facility will be called the Kotak-IISc AI-ML Centre and will be located on the IISc campus in Bangalore. It will provide undergraduate, graduate, and short-term courses in AI, ML, deep learning, fintech, and reinforcement learning, among other subjects. Additionally, the centre intends to foster research and innovation in AI and machine learning and establish a talent pool from around the country capable of providing cutting-edge solutions to satisfy the industry's emerging and future requirements.

IIT Roorkee with the Mehta Family Foundation 

MFF and IITR have struck an agreement to establish a new Mehta Family School of Data Science and Artificial Intelligence. This initiative is MFF's fourth new school in India, advancing the organisation's objective to create new degree programmes in data science, artificial intelligence, and bioengineering that will result in discoveries, new companies, and new jobs. The school's news, which will be erected on IITR's main campus, drew extensive global media interest.

IIT Delhi with IHFC

Both IIT Delhi and IIIT Delhi have strong engineering backgrounds and significant ties to researchers and medical professionals at various Indian universities, including AIIMS and others. The two centres are dedicated to advancing medical robotics/cobotics, digital health, sensing, and computing technologies used in robotic-assisted operations, training, and medical procedures.

TMU Moradabad collaborates with NVIDIA

According to Deepu Talla, NVIDIA South Asia's Vice President and General Manager of Embedded and Edge Computing, "The AI revolution is being fueled by NVIDIA at research centres throughout the world. TMU Moradabad's NVIDIA Jetson AI/DL Embedded Lab has the potential to help India catch up to the competition in the field of supercomputing."

Axis Bank-Manipal School of Data Analytics

In conjunction with Axis Bank, Manipal Global announces the Axis Bank-Manipal School of Data Analytics, the country's first job-assured online programme in data science and analytics. The school of data analytics offers a three-month online degree programme with a two-week practical component. Beginning this month, the first group will receive training in the core ideas and techniques of data science and analytics, big data, and ML using Python. The curriculum is targeted at recent graduates and individuals with up to three years of experience in technology/analytics-related fields. 

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