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are on the trail of the secrets of Artificial Intelligence (AI). It is now widely known that deep learning and other AI processes achieve amazing results for a multitude of applications. But why do they
Section: FB3
Israeli company SagivTech Ltd. and develops data-driven methods based on neural networks and deep learning. These methods have concrete applications in medical magnetic particle imaging, a technology for
(each full academic year, alternating BSc and MSc, currently BSc project), which develops deep learning methods for current problems in medical imaging at an internationally competitive level. Horst Hahn
reality and computer graphics to achieve sustainability, or energy consumption and biases in machine learning.The events will be held on Mondays from 4 to 6 p.m. and are offered as hybrid sessions: Face-to-face
robot has learned to pour juice out of a bottle and into a glass, it – unlike humans – is unable to transfer the pouring capability to other containers and substances spontaneously. It has to learn almost
worked on the fundamentals of this topic, and after 10 years, it became a mainstream topic.” “We learn so much from different people from different countries and different Institutes. It not only expands [...] in diverse perspectives.” Datta also highlights the importance of intercultural experiences: “We learn so much from different people from different countries and different Institutes. It not only expands
systems Functional safety Hardware-oriented test and hardware-oriented safety Statistical and machine learning techniques for test and reliability System test and reliability Test and simulation of mixed-signal
natural language processing at the University of Stuttgart. In his keynote, he will talk about machine learning in the natural language processing field. We thank all the participants and everyone interested
remains a challenge for machines. In this talk, we discuss the recent studies where we apply machine learning techniques to interpret listening activities in human brains, and to implement machine auditory
adapt to the needs of their users by interpreting biosignals. To this end, she combines machine learning methods and signal processing with innovations in biosensor technology. She received the Alcatel-Lucent