State of Art Laboratories

The main objective of the Centre for Artificial Intelligence & Machine Learning and Cloud Computing is to drive innovation and research excellence in the domains of AI and ML, while concurrently facilitating practical training and expertise development in cloud computing, specifically through open-source platforms and applications. This interdisciplinary hub aims to empower students and researchers, foster ethical AI practices, and enhance industry collaboration, thereby advancing responsible AI technologies, bridging the gap between academia and the professional world, and actively disseminating knowledge to benefit both the academic and broader communities.

Salient Features

• Advanced Infrastructure: The lab is equipped with high-performance computing resources, including GPUs and TPUs, to facilitate the development and training of complex AI and ML models.
• State-of-the-Art Software: Availability of cutting-edge AI and ML software frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn, to support research and development.
• Interdisciplinary Collaboration: Encouragement of interdisciplinary collaboration, enabling researchers from various fields to work together and apply AI and ML techniques to solve a wide range of problems.
• Access to Cloud Computing: Provision of cloud computing resources and platforms for scalable and distributed AI and ML experimentation and deployment.
• Industry Partnerships: Collaboration with industry partners to provide real-world projects and opportunities for students ,fostering a connection between academia and the professional world.
• Access to Industry Tools: Availability of industry-standard AI and ML tools, frameworks, and platforms commonly used in the professional world.

The High Performance Computing Lab is for both classroom instruction as well as a research use. It is used in the instruction of high performance computing, scientific computing, computer graphics, and general Linux instruction. This versatile facility provides students with hands-on experience, enabling them to explore the intricacies of computational science and graphics while gaining proficiency in Linux environments.

Salient Features

• Advanced Hardware
• Parallel Processing
• Large Memory and Storage
• High-Speed Interconnects
• Diverse Software Stack
• Scalability
• Job Scheduling
• Visualization Tools
• Research Applications

These features collectively make an HPC Lab an essential resource for scientific research, computational modeling, and data-driven investigations across a wide range of disciplines, while also facilitates educational initiatives in the field of high-performance computing.

This lab is aimed to learn advanced technologies of computer science such as Machine Learning, Artificial Intelligence, Deep Learning and Data Mining. The Lab facilitates database designing and management through dedicated tools such as Oracle, and MySQL and related computing paradigm and frameworks. Lab provides computing platform for Python, R, and OpenCV and other necessary for building unique set of ideas, fundamental of Machine Learning, Artificial Intelligence and Deep Learning models and algorithms.

A Full-Stack Developer is a developer who works on both the front-end and back-end of a website or application. In this lab students learns to handle projects that involve databases, building user-facing websites. Students will be able to work on both sides and understand the workflow when building an application.

This lab introduces students to agile software development methodologies that prioritize adaptability, customer collaboration, and continuous improvement. Students gain hands-on experience with iterative and incremental development, learning how to respond effectively to changing requirements while maintaining software quality. Through team-based projects, students practice core agile principles such as sprint planning, daily stand-ups, backlog management, test-driven development, and continuous integration. Emphasis is placed on pragmatic decision-making, rapid feedback, and delivering working software at regular intervals.

The Visualization and Graphics Lab serves as a facility for conducting research in the areas of scientific visualization, geometry processing, and computer graphics.The lab provides students and researchers with access to advanced hardware and software tools required for the analysis, modeling, and visual representation of complex data and geometric structures. It supports hands-on experimentation with visualization techniques, rendering algorithms, and interactive graphics systems.Through guided projects and independent research, participants explore topics such as data visualization, 3D modeling, mesh processing, simulation, animation, and real-time graphics. The lab encourages interdisciplinary collaboration and emphasizes both theoretical foundations and practical implementation.By working in this lab, students develop strong analytical, programming, and visual design skills, preparing them for careers in research, game development, simulation, virtual reality, and other graphics-intensive application domains.