Mahindra University and University of Florida Collaborate for Second Round of Indo-US AI and Data Science Workshop

Mahindra University and the University of Florida co-hosted the second Indo-US workshop on AI and Data Science. The event brought together global and local experts, facilitating discussions on computing, cybersecurity, machine learning, and allied computer science domains. Check details here 

Mahindra University and the University of Florida teamed up for the second Indo-US Workshop on AI and Data Science. Renowned speakers from around the world converged to exchange insights and ideas in computing, cybersecurity, machine learning, and related computer science domains on this vibrant platform.

The workshop encouraged valuable connections among faculty, researchers, and experts, nurturing collaboration and the sharing of knowledge. The broad spectrum of topics addressed underscored the workshop's dedication to pushing the boundaries of artificial intelligence and data science exploration.

The increasing need for AI and Data Science expertise signifies a shift toward automation, driven by cloud-hosted pre-trained Machine Learning models. This trend is reshaping industries and underscoring the crucial requirement for skilled professionals in this field.

The workshop showcased keynote speakers of academic distinction, covering a wide array of topics that spotlighted the present trends and challenges in the ever-evolving domains of artificial intelligence and data science. 

The workshop garnered over 300 registrations, featuring distinguished speakers like Prof. Kanappan Palaniappan, Prof. Gunaseetharaman, Prof. Devika P Madalli, Prof. SS Iyenger, Prof. Arun Kumar Pujari, Prof. Sanguthevar Rajasekaran, Prof. Arif I Sarwat, and Prof. Deepak Khazanchi. Their valuable insights significantly enriched the intellectual discourse.

According to Dr. Yajulu Medury, Vice-Chancellor of Mahindra University, "The workshop offered an opportunity for young researchers and students to interact with leading experts in the field. This exposure will inspire them to pursue their research endeavours and contribute towards meaningful advancement of AI and Data Science.”

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