AI Optimization: The Key to Smart Transportation?

Modern transportation is a major contributor to CO2 emissions, but AI could be the game-changer we need! This video explores how machine learning is optimizing traffic signals, self-driving vehicles, and maritime navigation to create a more sustainable future.

🔍 What will be covered Cover:
✅ How AI-driven traffic signals can reduce congestion and emissions 🚦
✅ The role of sensor fusion in self-driving cars 🚗
✅ Predictive modeling for smarter maritime navigation 🚢
✅ Reinforcement Learning’s impact on decision-making and efficiency

I also discuss cutting-edge research on model-based offline reinforcement learning (MoReBRAC)—a novel approach to balancing exploration and generalization in AI-driven transportation.

💡 Want to know how AI is shaping the future of mobility? Watch the full video to find out!