Learn Artificial Intelligence with Free Lessons & Tips

Deep learning is argued not to be the sole future of AI because it relies on massive datasets, is computationally inefficient, and lacks causal reasoning and explainability. It excels at pattern recognition but struggles with context, generalization, and "small data" learning, creating a need for newer, more efficient approaches. 

Programming simple AI involves learning Python, utilizing libraries like Scikit-learn or TensorFlow, and following a data-driven workflow: defining a problem, gathering data, training models, and testing. Start by building small projects such as chatbots or prediction tools, using pre-built libraries to handle complex mathematics. 

The Internet of Things (IoT) and Artificial Intelligence (AI) are fundamentally related, forming the "Artificial Intelligence of Things" (AIoT), where IoT devices act as the sensory body collecting data, and AI acts as the brain, analyzing it for intelligent actions. AI enhances IoT by enabling predictive maintenance, automating decisions, and managing massive data streams.