The objective of this course is to provide students with a comprehensive view of the role of microelectronic circuits in implementing artificial intelligence (AI) systems, with a special focus on neural networks and their efficient deployment in hardware. Students will be able to: 1. Understand the fundamentals of artificial intelligence from a hardware-oriented perspective. 2. Analyze the operating principles and internal structure of neural networks. 3. Evaluate the implementation possibilities of AI models in digital hardware. 4. Design and deploy neural networks using digital circuits and spiking technologies. 5. Develop a practical project to implement a neural network in hardware.

1. Introduction to Artificial Intelligence 2. Fundamentals of Neural Networks. 3. Deployment of neural networks in digital hardware. 4. Impulsive Neural Networks.

- Theoretical and exercise classes - Laboratory or computer classroom practice - Individual and group student work - Theory exam