In this subject, we are going to cover special topics in Computer Engineering. For this subject, we are going to cover topics related to Artificial Intelligence:

1. Recent Developments in Computer Engineering & AI: This will be covered through short YouTube videos in my channel.

2. Prompt Engineering: Prompt engineering involves crafting specific input phrases or questions to effectively direct an AI model's responses. By carefully designing these prompts, users can elicit more accurate, relevant, and useful outputs from the AI. This technique is essential for optimizing the performance of AI systems in various applications, from chatbots to complex data analysis tools

3. Shallow Learning Networks: This will introduce some fundamentals to Artificial Intelligence & Machine Learning to give an overview of the field, together with some practical problems. MLPs belong to this category. Introduction to MATLAB. Function Approx Notes DC Motor Dataset

4. Deep Learning Networks: Here, we will delve into more advanced networks that can perform more complex tasks compared to shallow learning networks. We will explore some practical examples on this topic. Let's test it out! | Batik Classification | Tiny YOLO for Object Detection

5. Generative AI: Generative AI is the most recent interesting topic in AI. Generative AI refers to a type of artificial intelligence technology that can generate new content, including text, images, and music, by learning from large datasets to mimic and extend existing patterns and styles. A popular example of Generative AI is ChatGPT, Perplexity, Claude & Gemini.

6. Neural Processing Units (NPUs): NPUs are specialized chips designed to speed up AI tasks. They perform the key calculations for neural networks, like matrix multiplications, very efficiently. By processing many operations at once, NPUs handle AI tasks much faster than regular computer processors.​ 

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