• Natural Language Processing (NLP) & LLMs: Large language models, machine translation, chatbots, and fine-tuning methodologies.
• Computer Vision: Image and video analysis, facial recognition, autonomous drone navigation, and industrial quality control.
• Reinforcement Learning (RL): Training autonomous agents for sequential decision-making in robotics, gaming, and resource routing.
• AI Ethics & Explainability (XAI): • Fairness in AI, algorithmic bias prevention, and making black-box models transparent and interpretable.