Explores the ethical implications of brain-computer interfaces and the societal challenges at the human-machine interface, emphasizing the importance of cognitive liberty and mental privacy.
Explores the EPFL Alice unit's role in shaping machine learning and AI in Europe, focusing on research advancements and collaboration within the AI community.
Explores narratives and interpretations of the end of the world, from religious eschatologies to modern scenarios, including nuclear threats and ecological disasters.
Explores the impact of machine learning in understanding human diseases, focusing on historical significance, natural products discovery, and challenges in designer drugs.
Covers wildfire susceptibility mapping using ML-Al robotics and various related topics, including experimental protocols, DFT feature engineering, SimpedCLIP, and Covid-19 detection.
Explores the evolution of science communication research, challenges in journalism, impact of digital media, and scientists' role in public engagement.