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2^nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021)

June 26~27, 2021, Sydney, Australia

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms ^New

Scope Call for Participation Program Schedule

2^nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of AI and Machine Learning.

Topics of interest include, but are not limited to, the following:

Artificial Intelligence

AI Algorithms
Artificial Intelligence Tools and Application
Automatic Control
Bioinformatics
CAD Design and Testing
Computational Theories of Learning
Computer Vision and Speech Understanding
Data Mining and Machine Learning Tools
Fuzzy Logic
Heuristic and AI Planning Strategies and Tools
Hybrid Intelligent Systems
Information Retrieval
Intelligent System Architecture
Knowledge Representation
Knowledge-based Systems
Mechatronics
Multimedia & Cognitive Informatics
Natural Language Processing
Neural Networks

Parallel Processing
Pattern Recognition
Pervasive Computing and Ambient Intelligence
Programming Languages
Reasoning and Evolution
Recent Trends and Developments
Robotics
Semantic Web Techniques and Technologies
Soft computing theory and Applications
Software & Hardware Architectures
Web Intelligence Applications & Search

Machine Learning

Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems

Paper Submission

Authors are invited to submit papers through the conference Submission System by CLOSED.

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CAIML 2021, after further revisions, will be published in the special issues of the following journals