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AI@Integral Initiative

Laboratory

IUCARE Infrastructure Highlights

Laboratory Ecosystems

The IUCARE laboratory infrastructure comprises five specialized AI and computing laboratories supported by GPU-enabled High Performance Computing (HPC) infrastructure. It provides a comprehensive ecosystem for Artificial Intelligence, Machine Learning, Data Science, Business Intelligence, and Data Analytics, while fostering innovation through emerging technologies and advanced AI development. The facility is equipped with industry-supported technology platforms that promote interdisciplinary research, collaborative innovation, and hands-on learning. It enables students and researchers to engage in real-world AI projects, advanced research, and technology-driven solution development, preparing them to address contemporary industry and societal challenges.

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Al Foundations & Computational Thinking Lab Lab 01 System Configuration

  • Model:HP Pro Tower 280 G9 PCI
  • Processor: 12th Gen Intel®️ Core i5-1250@3:00 GHz
  • RAM:16GB
  • Storage: 500 GB SSD
  • Operating System: Windows 11 Enterprise(64-bit)

Focus Areas

Computational Thinking | Python Programming | AI Fundamentals | Algorithms & Problem Solving | AI for Non-Engineering Disciplines

Software Stack

Python | Jupyter Notebook | VS Code | Git & GitHub | Linux (Ubuntu)

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Applied Machine Learning & Data Science Lab Lab 02 System Configuration

  • Model: HP Pro Tower 280 G9 PCI⁠
  • CPU: 12th Gen Intel®️ Core i5-1250 @ 3.00 GHz
  • RAM: 16GB
  • Storage: 500 GB SSD
  • ⁠OS: Windows 11 Enterprise (64-bit)

Focus Areas

Supervised Learning | Deep Learning | Feature Engineering | Model Optimization | Data Engineering

Software Stack

Scikit-learn| TensorFlow | Pytorch | Pandas & NumPy | Apache Spark

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Advanced Al & GPU Computing Lab Lab 03 System Configuration

  • Model: HP 72 Tower G9 Workstation
  • GPU: NVIDIA GPU with 8 GB VRAM
  • CPU: 12th Gen Intel®️ Core i9-12900K @ 3.20 GHZ
  • RAM: 128GB DDR4
  • Storage: 2TB NVMe SSD
  • OS: Windows 11 Enterprise (64-bit)
  • Number of Systems: 22 High-End Workstations

Focus Areas

Large Model Training | Didtributed Computing | Parallel Processing | AI Research Project

Infrastructure Stack

Multi-GPU Servers | CUDA | Kubernetes | Docker | Linux Server

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Data Analytics & Business Intelligence Lab Lab 04 System Configuration

  • Model: HP Pro Tower 280 G9 PCI⁠
  • CPU: 12th Gen Intel®️ Core i5-1250 @ 3.00 GHz
  • RAM: 16GB
  • Storage: 500 GB SSD
  • ⁠OS: Windows 11 Enterprise (64-bit)

Focus Areas

Business Analytics|Data Visualization|Dashboard Development|Decision Support Systems|Predictive Models

Software Stack

Python | R & RStudio | KNIME | mETABASE| PostgreSQL

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Al Innovation & Emerging Technologies Studio Lab 05 System Configuration

  • Model: HP Pro Tower 280 G9 PCI⁠
  • CPU: 12th Gen Intel®️ Core i5-1250 @ 3.00 GHz
  • RAM: 16GB
  • Storage: 500 GB SSD
  • ⁠OS: Windows 11 Enterprise (64-bit)

Focus Areas

Generative AI| Prompt Engineering | LLM Fine-Tuning | Al Startups |Rapid Prototyping

Software Stack

LangChain|Streamlit|FastAPI |Docker| Stable Diffusion

Advanced Robotics & Autonomous System

Laboratory Ecosystems

The facility seamlessly integrates Artificial Intelligence with robotics, embedded systems, and automation technologies. It supports intelligent system development, autonomous navigation research, industrial robotics applications, and the design of next-generation smart systems.