Search

Natural Language Processing (NLP) is an interdisciplinary field at the intersection of artificial intelligence, linguistics, and computer science, dedicated to enabling computers to understand, interpret, and generate human language. NLP underpins...

Artificial Intelligence (AI) algorithms have a significant impact on people’s lives. In this course, we discuss social responsibility around data privacy, bias in data and decision-making, policies as guardrails, fairness and transparency in the...

This course will cover a wide range of topics in swarm intelligence, including mathematical, computational, and biological aspects. The course is organized in four parts. In the first part, the students will learn about complex systems and the basic...

Robotic and AI systems have strong potential to directly impact our well-being, from self-driving cars to medical robots. Therefore, it is important to consider strong guarantees on the correctness and safety of their behavior. These guarantees...

This graduate-level course delves into the intersection of machine learning and robotics. The curriculum will explore the integration of contemporary learning techniques in robotic areas such as manipulation, navigation, planning, control, decision...

In the rapidly evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force with significant implications for public policy. This course is designed to provide students with a comprehensive understanding of...

Deep Learning, a core of modern Artificial Intelligence, is rapidly expanding to resourceconstrained devices, including smartphones, wearables, and intelligent embedded systems for improving response time, privacy, and reliability. This course...

This is an introductory course for engineering students to gain basic knowledge of machine learning and its applications. This course's objective is to learn machine learning theory and then apply it in engineering practice. A major emphasis of the...