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Track 01

Artificial Intelligence and Machine Learning Applications

About

AI and ML are revolutionizing industries, research, and education.

Objectives

To showcase practical applications of AI while addressing ethics and inclusivity.

Core Objectives

Promote AI literacy among educators and researchers.
Demonstrate ML applications in science and engineering.
Discuss ethical adoption and responsible AI.
Encourage interdisciplinary AI research.

Expected Outcomes

Frameworks for responsible AI integration and collaborative projects across disciplines.

SDGs Mapped

Quality Education
Industry, Innovation & Infrastructure

Focus Areas

AI literacy
Predictive analytics
Intelligent systems
Ethical AI
Interdisciplinary applications

Submitting to this track?

Abstracts are reviewed against the focus areas listed above.

Submit Your Abstract

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