
Centre For AI
Centre For AI
Equipped with cutting-edge infrastructure, the lab features an NVIDIA DGX A100 server, known for its unparalleled performance in AI workloads, and 86 high-performance computing systems, each powered by i7 processors, 32 GB RAM, and 1 TB HDD. This robust setup provides an ideal environment for developing and testing next-generation AI solutions.
The key mission is to empower researchers, students, and industry professionals to push the boundaries of artificial intelligence, fostering breakthroughs that can transform industries, improve decision-making, and enhance quality of life. Whether you’re exploring deep learning algorithms, predictive analytics, or AI-driven automation, the Centre for AI is the place where ideas become reality.

Specifications
- GPUs – 8x NVIDIA A100
- GPU Memory – 320 GB total
- CPU – Dual AMD Rome 7742
- System Memory – 1 TB
- Development of advanced machine learning models for prediction, classification, and clustering tasks.
- Data Analytics and Predictive Modelling
- Computer Vision
- AI for Healthcare
- Segmentation of CT- lung lobes aerosol detection
- ILDC for CIPE: an extension
- Animal Intrusion and Detection system
- Anomaly Detection
- Prompt Design for creating descriptive images (text -to-image)
- Prompt Design for creating descriptive images (text -to-image)
- Text to Video Generation Models for content and educational purposes
- Deep Learning for coffee bean quality assurance – Industrial Project
- Real Time Crime Detection Using CCTV Surveillance Videos
- Synthetic Data Generation with GANSs for Improved Agricultural climate impact forecasting using Deep
- Trash identification using Object Detection
- LLM for coding NLP
- Breast cancer cell detection and optimization
- Develop a unified model to transfer text style from one language to another language
- Biostructure analysis of amyloid peptide protein
- AI image low-light De-Noiser
- OTIS++
- Intelligent Driver Drowsiness detection through hybrid deep learning
- Aspect Ratio Change in Photos using Generative AI
- Zero-shot person identification using VLMs with contextual information and personal attributes
- Guardian Angel-Child Monitoring and Protection
- Detection of diabetic retinodating using deep learning technologies
Lab In charge
Dr.M.Vimaladevi
Assistant Professor
vimaladm@srmist.edu.in

UB711
- University Building, SRM Nagar, KTR.
