The International Conference on Advancements in AI and Machine Learning for Sustainability is a premier event aimed to bring together leading researchers, engineers, practitioners, and industry experts from around the world to explore the evolving intersection of Artificial Intelligence (AI) and Cloud Computing in driving sustainable development. As technology rapidly advances, AI and Cloud Computing offer unprecedented opportunities to address some of the most critical challenges in the realms of sustainability, business, health, environment, and governance.
This conference aims to provide a platform for the presentation of cutting-edge research, the exchange of innovative ideas, and the collaboration among experts on how AI and Cloud Computing can be leveraged to achieve sustainable progress and solutions for the future. The event will feature keynote speakers, panel discussions, hands-on workshops, and paper presentations across four thematic tracks.
About SOA (Deemed to be University)
Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, declared u/s 3 of UGC Act, 1956, is a leading University in India offering professional programs in the disciplines of Master of Sciences, Engineering, Medicine, Dental Science, Nursing, Pharmaceutical Science, Biotechnology, Management, Law, Hotel Management and Agricultural Sciences. The university offers a vibrant atmosphere for teaching-learning, research & development, and socially inclusive extension activities through all its undergraduate and postgraduate programs. Today, Siksha ‘O’ Anusandhan (Deemed to be University) has emerged as one of the fastest-growing universities in the country. True to its mandate to pursue contemporary and interdisciplinary research, this comprehensive and multi-disciplinary university is actively spearheading research in emerging areas of Technology, Medicine, Science, and Management.
For more information, visit SOA | SIKSHA 'O' ANUSANDHAN
Important Dates
Last Date of Paper Submission: TBD
Notification of Acceptance:
TBD
Submission of Camera-Ready Copy:
TBD
Last Date of Registration:
TBD
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