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3rd International Conference on

Artificial Intelligence and Machine Learning Applications

14 - 15 March 2025

* Hybrid Mode

Tiruchengode - 637215, Tamil Nadu, India 

Conference Theme: Healthcare and Internet of Things

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About the Conference

This Third International conference on Artificial Intelligence and Machine Learning Applications (AIMLA 2025) brings together Academicians, researchers and data analysts to facilitate the adoption of Artificial Intelligence and machine learning technologies. Most of the organizations around the globe have embarked themselves in a journey of digital transformation. They are successful only to a certain extent and there is long way to travel in this journey. AI/ML applications bring about the convergence of analytics, data science and automation that accelerate successful digital transformations.

 

Artificial Intelligence and Machine Learning are to reach unforeseen levels of accuracy and efficiency and it is necessary to promote research on AI and ML seen as functions of data-driven innovation and digital transformation. This conference is a dream realized to provide such a platform that bridges the existing gap and serves as a hub for researchers and innovators across disciplines to present their work, share their knowledge and exchange ideas.​This conference is jointly organized by Department of Electronics and Communication Engineering, Electrical and Electronics Engineering, Computer Science Engineering and Information Technology of KSRCT.

Conference Focus Areas

  • Adaptive Modelling / Neuroscience

  • AI for Assisted Living

  • AI in Biomedical Applications

  • Augmented / Virtual reality

  • Automated Machine Learning

  • Bayesian Learning

  • Biometrics

  • Clustering

  • Computational Linguistics

  • Computer Vision

  • Convolutional NN

  • Data mining

  • Deep Learning

  • Expert Systems

  • Explainable Machine Learning

  • Health Care

  • Information Retrieval

  • Internet of Things

  • Knowledge based systems

  • Machine Learning

  • Machine Learning Approaches for Handling Incomplete Data

  • Natural Language Processing

  • Probabilistic Graphical Models

  • Reinforcement Learning

  • Robotics

  • Sentiment analysis

  • Smart Blockchain Applications/Cybersecurity

  • Social Network Analysis

  • Software and hardware architecture

  • Trustworthy Machine Learning

  • Web intelligence Applications and Search

The Conference topics include (but are not limited to)

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