Explore the fascinating intersection of natural and artificial cognition in this comprehensive lecture by Professor Kalle Åström from Lund University's Centre for Mathematical Sciences. Delve into the power-efficient sensor data processing of humans and animals, and discover how automatic analysis of sensor data from various sources is rapidly advancing and finding applications across society. Learn about the increasing need for automatic analysis of medical data in healthcare, the importance of data extraction and visualization in research facilities like MAX IV and ESS, and the applications in self-driving cars and smartphones. Gain insights into machine learning, computer vision, artificial neural networks, image recognition, sentiment analysis, structure from motion, and autonomous vehicle technologies. Understand the principles behind singular processing, line estimation, nonlinear equations, and pinhole cameras. Examine the potential of autonomous drone driving and mobile phone driving technologies. Read more