AICTE ATAL FDP Topic on Machine Learning Application in Computer Vision

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Computer vision is a branch of artificial intelligence (AI) that allows computers and systems to extract
useful information from photos, videos, and other visual inputs, and to conduct actions or make
recommendations based on that data. If artificial intelligence allows computers to think, computer
vision allows them to see, watch, and comprehend. The Faculty Development Program on Machine Learning Applications in Computer Vision aimed to improve our understanding of how Computer Vision works and how it is employed in a variety of industries, including energy and utilities, manufacturing, and automotive. It was a gathering of researchers and faculty members who got together to discuss ideas and share methodologies, resources,
and experiences. It consisted of an eleven-day program featuring a mix of scientific and technological
sessions.

Eminent Speakers:
Dr. Amitava Nag, CIT, Assam
Dr. Chetan Arora, IIT, Delhi
Dr. Pratik Chattopadhyay IIT, BHU
Dr. Debashis Nandi, NIT, Durgapur
Mr. Eshan Chattraj, Google India
Dr. Oishila Bandyopadhyay, IIIT, Kalyani
Dr. Jotyi Prakash Singh, NIT, Patna
Swami Yog Swarupananda Maharaj Ji, Ex-VC, Belur Math
Dr. Mohuya Chakraborty, IEM, Kolkata
Dr. Darothi Sarkar, IEM, Kolkata

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