From self-driving cars and augmented reality to intelligent medical imaging helping doctors identify diseases more quickly, computer vision is a rapidly growing field within artificial intelligence and machine learning. In this course, students who are already familiar with the key theoretical foundations of artificial intelligence and machine learning will dive deeper into the exciting capabilities of this area of research and its applications.

In our age of burgeoning smart technology and automation, we are already seeing the transformative potential of Artificial Intelligence and Machine Learning in fields as diverse as finance, medicine, and manufacturing. This course offers a hands-on introduction to this future-focused area of research.

The 2025 edition of the Summer School Enabling Technologies for Industrial Internet of Things (ET-I2oT 2025) is organized to provide 6 ECTS (about 52 hours of front lessons) in the fields of Electronics, RFID, Sensors, Networking, Web of Things, SW for IoT, Computer Engineering, targeting on one side an audience of Bachelor (last year), Master and PhD students, and on the other side early stage researchers and practitioners from Academia or Industry. Both HW and SW aspects of IoT will be presented and discussed during the school.

Advanced Artificial Intelligence and Machine Learning: Natural Language Processing is a course that delves into the theoretical concepts of NLP, exploring its current applications and envisioning the potential future uses in diverse domains. The course highlights the significance of NLP in our daily lives, emphasizing its integration through predictive text, translation tools, and smart devices, showcasing the immense future potential within this exciting area of research, particularly evident in large language models like Chat-GPT.

Unravel complex systems and visualize their interactions. Experiment and reimagine them through interventions, algorithms, models, and simulations. Communicate your understanding through powerful system visualizations.