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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
Section: FB3
these include new tactics and additional or improved object recognition components based on deep learning. About the Team B-Human currently consists of 26 students from the City University of Applied Sciences
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
resources, which are even scarcer on Mars than on Earth, to our planet as well – in other words, learn from Mars for Earth? About the Initiative: The initiative is supported by the state of Bremen. The
satellite-based Earth observation, ice drift forecasts, and with methods from the field of machine learning, navigation decisions in polar shipping are to be improved. The data will be used to create risk
TZI-Wissenschaftler Professor Johannes Schöning und Ankit Kariryaa ein KI-Verfahren aus dem Bereich Deep Learning („fully convolutional neural networks“) adaptiert. „In der Arbeitsgruppe Mensch-Technik-Interaktion
Im Verbundprojekt IMPACT (Implementierung von KI-basiertem Feedback und Assessment mit Trusted Learning Analytics in Hochschulen) geht es um die (teil-)automatisierte Analyse von Texten. Entlang des „Student
-Wissenschaftler Professor Johannes Schöning und Ankit Kariryaa ein KI -Verfahren aus dem Bereich Deep Learning adaptiert. „In der Arbeitsgruppe Mensch-Technik-Interaktion am TZI haben wir sowohl die Expertise
same time, these solutions must work with great accuracy. For example, our goal is for the AI to learn not only to distinguish wolves from other species, but also to distinguish individual wolves from
the RoboCup Symposium, B-Human presented three scientific papers on current topics, such as deep learning and humanoid running. All three papers were written with significant contributions from University