2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics (aimlr 2023)

2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics (AIMLR 2023) -EI Compendex
Location: Bangkok, Thailand
Dates: September 15-17, 2023
Website: http://www.aimlr.net/
E-mail: sub_aimlr@163.com
Conference Format: Online and In-person

2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics (AIMLR 2023) will be held in Bangkok, Thailand during September 15-17, 2023. AIMLR is an annual conference which explores the development and implications in the related fields of Artificial Intelligence, Machine Learning and Robotics an objective to present the novel and fundamental advancements. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Artificial Intelligence, Machine Learning and Robotics. Featured with invited speeches and paper presentations, AIMLR 2023 sincerely welcome interested researchers and professors to understand the frontier research trends and share latest research results, summarize current work and inspire scientific research ideas, broaden horizons and cultivate scientific research interest.

Topics:
Evaluation of AI tools
Intelligent networks
Intelligent information systems
Software tools for AI
Intelligent databases
Intelligent information fusion
Intelligent data mining and farming
AI and evolutionary algorithms
Intelligent web-based business
Intelligent user interface
Integration of AI with other technologies
Distributed AI algorithms and techniques
(For more topics: http://www.aimlr.net/cfp.html )

Paper Publication:
After a rigorous reviewing process, accepted papers after proper registration and presentation will be included in AIMLR 2023 Conference Proceedings, published by ACM (ISBN: 979-8-4007-0831-2) and indexed by Ei Compendex and Scopus.

AIMLR 2023 Speakers:
Prof. Rajkumar Buyya (Fellow IEEE), The University of Melbourne, Australia

Prof. James Tin Yau KWOK (Fellow IEEE), Hong Kong Uni