• Tnea
    Code 1399

Centre for Artificial Intelligence

About Centre for Artificial Intelligence

The Artificial Intelligence Centre has been established to train students in Artificial Intelligence (AI) and Data Science, equipping them with in-demand skills and bridging the gap between industry and academia.

AI refers to the capability of machines to simulate human cognitive processes, automating tasks and replicating human intelligence through cognitive computing. It can identify patterns, derive insights from unprocessed data, make predictions, and facilitate interactions between people, machines, and the environment.

Core areas include knowledge engineering, machine learning, deep learning, machine perception, robotics, and applications in knowledge, reasoning, problem-solving, perception, learning, planning, and process automation.

Vision

  • Innovative Leadership – Be a global leader in AI research and innovation, transforming industries and improving lives.

  • Ethical AI – Promote ethical, transparent, and socially beneficial AI technologies.

  • Interdisciplinary Collaboration – Unite experts from multiple fields to solve complex challenges through AI.

  • Education & Empowerment – Prepare the next generation of AI professionals through advanced training and education.

  • Societal Impact – Leverage AI for social good, addressing issues such as healthcare, climate change, and inequality.

Mission

  • Conduct cutting-edge research in both foundational AI theories and practical applications.

  • Develop innovative AI solutions that improve productivity, efficiency, and quality of life.

  • Promote ethical standards and best practices in AI development and use.

  • Engage with communities globally to increase AI awareness and understanding.

  • Advocate for responsible AI policies and address societal implications.

  • Partner with industries to translate research into real-world applications.

  • Foster diversity and inclusion in AI education, research, and deployment.

Specific Objectives

  • Advance Research & Innovation
    • Drive research in AI methodologies, algorithms, and applications.
    • Partner with academia and industry for collaborative innovation.
  • Enhance Education & Training
    • Offer comprehensive courses, workshops, and certifications.
    • Establish mentorship programs for emerging AI talent.
  • Promote Ethical AI Practices
    • Develop ethical guidelines and frameworks.
    • Conduct awareness programs on AI ethics.
  • Facilitate Interdisciplinary Collaboration
    • Collaborate with sectors like healthcare, finance, and environmental science.
    • Organize conferences and symposiums to share insights.
  • Drive Industry Engagement
    • Identify real-world challenges AI can solve.
    • Support AI-based business process improvements.
  • Support Policy Development
    • Work with policymakers on AI regulations and standards.
    • Advocate for responsible AI adoption.
  • Increase Public Awareness & Engagement
    • Conduct outreach and educational campaigns.
    • Create dialogue platforms between experts and the public.
  • Enhance Infrastructure & Resources
    • Invest in advanced AI research facilities.
    • Provide access to computational tools and datasets.
  • Measure & Evaluate Impact
    • Define metrics to assess societal and industrial impact.
    • Regularly review and refine strategies.
  • Foster Diversity & Inclusion
    • Implement initiatives for inclusive AI research and education.
    • Encourage representation from underrepresented groups.

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Admission 2026