Key Areas:
Focuses on developing intelligent systems that can learn and adapt. Key areas include machine learning algorithms, neural networks, natural language processing, and computer vision.

Research Methods:

• Experiments: Conducting controlled experiments to test AI models and algorithms.

• Data Analysis: Utilizing large datasets to train and evaluate machine learning models.

• Simulation: Creating simulations to model and predict AI behavior in various scenarios.

Unique Aspects:
The department emphasizes hands-on experience with state-of-the-art AI tools and platforms, preparing students for careers in emerging technologies.