Lecture
This lecture focuses on the impact of artificial intelligence on engineering, particularly in the context of recent advancements and challenges. It begins with an overview of the Engineering Research Day at EPFL, highlighting the significance of AI in transforming various engineering disciplines. The instructor discusses the role of neural networks and machine learning in engineering, emphasizing their applications in materials science, robotics, and biomedical engineering. Key presentations include innovative research on bio-sourced materials, broad-spectrum antivirals, and neuromorphic computing. The lecture also addresses the implications of AI on education, urging a balance between traditional engineering principles and modern AI tools. The discussion extends to the ethical considerations and sustainability challenges posed by AI technologies, advocating for responsible research practices. The session concludes with a panel discussion featuring experts from different engineering fields, exploring the future of engineering in the AI age and the importance of interdisciplinary collaboration.