9 hrs ago
NIIT University Opens AI Centre for Student Learning
NIIT University has opened a centre where students and researchers can work with artificial intelligence.
It gives them computers and tools to try out AI projects.
They can learn how AI models are trained, adjusted and put to use.
The centre supports topics such as generative AI, robotics and computer vision.
It can serve up to 30 people at once.
Students, teachers and research scholars can use it for classes, projects and research.
The university also plans workshops, hackathons and other activities.
The goal is to help people practise using AI, not just study it in theory.
NIIT University launched an Artificial Intelligence Centre of Excellence for students, faculty and research scholars.
The centre provides infrastructure and tools for AI learning, experimentation and research.
It supports work in machine learning, deep learning, generative AI, edge AI and agentic AI.
The facility has three YodaEdge devices and can accommodate up to 30 concurrent users.
Planned activities include workshops, faculty development programmes, hackathons and industry interaction sessions.
- Who
- NIIT University launched the centre for its students, faculty members and research scholars.
- What
- An Artificial Intelligence Centre of Excellence providing computing infrastructure and tools for AI learning and research.
- Where
- NIIT University; the article does not specify a campus location.
- When
- The article does not specify a launch date.
- Why
- To support practical AI learning, experimentation, coursework, projects and research.
Key facts
- Facility
- Artificial Intelligence Centre of Excellence
- Concurrent users
- Up to 30
- YodaEdge devices
- Three
- Tools and platforms
- NVIDIA systems and tools, PyTorch and JupyterLab
- Supported applications
- Computer vision, natural language processing, large language models, intelligent Internet of Things systems, predictive analytics and smart healthcare
- Planned activities
- Technical workshops, faculty development programmes, hackathons and industry interaction sessions
- Additional project areas
- Generative AI applications, retrieval-augmented generation, multimodal AI, robotics and perception systems, model optimisation and human-computer interaction
Sources
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