ICMARAI-26

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AI in Science and Engineering

Applications of AI in physics, chemistry, biology, and other sciences.
AI for materials discovery, energy systems, and climate modelling.
Engineering innovations powered by AI, such as robotics, IoT, and control systems.

AI in Healthcare and Life Sciences

Machine learning for medical diagnosis, drug discovery, and genomics.
AI in personalized medicine and health informatics.
Ethical considerations in AI-driven healthcare solutions.

AI in Business and Economics

Applications in finance, marketing, and supply chain management.
AI for decision-making, forecasting, and risk assessment.
Economic implications of AI adoption and automation.

AI for Social Good and Policy

AI applications in education, public safety, and disaster management.
Tackling social challenges like inequality, poverty, and accessibility.
Policy, ethics, and governance of AI in society.

Emerging AI Technologies and Methodologies

Advances in deep learning, reinforcement learning, and generative AI.
AI in edge computing, quantum AI, and neural-symbolic integration.
Interdisciplinary approaches to developing novel AI algorithms.

AI in Arts, Humanities, and Creativity

Applications of AI in literature, music, and visual arts.
Exploring the role of AI in cultural heritage preservation.
Ethical and philosophical questions in AI-driven creativity.

Natural Language Processing and Cognitive Computing

Advances in NLP for translation, summarization, and sentiment analysis.
AI in conversational systems, chatbots, and virtual assistants.
Cognitive computing for understanding human behavior and decision-making.

AI in Smart Cities and Urban Development

AI for urban planning, traffic management, and infrastructure optimization.
Applications in smart grids, renewable energy, and environmental monitoring.
Ethical challenges in deploying AI in public spaces and governance.

AI in Education and Workforce Development

AI-powered adaptive learning systems and personalized education.
Preparing the workforce for AI-driven industries and automation.
Ethical concerns and societal impacts of AI in education.

AI Security, Privacy, and Trust

AI for cybersecurity: threat detection and prevention.
Ensuring privacy and trust in AI systems and data usage.
Developing robust and explainable AI to mitigate risks and biases.

ICMARAI-26

International Conference on Multidisciplinary Applications and Research in Artificial Intelligence

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Contact Us

YCCE Official Website
Mr. Bhushan Bawankar
Phone: +91-9146033004
Email: icmarai26@ycce.edu

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