Infothek
This page contains automatically translated content.
Podcast with Prof. Dr. Bernhard Sick
Recently, Log16, a student podcast at the University of Kassel, interviewed Prof. Dr. rer. nat. Bernhard Sick. In this, he discusses various topics such as the evolution of AI in the past and present, the symbiosis between hardware and AI, and his journey to becoming a professor at the University of Kassel. The conversation touches upon various topics, including Prof. Sick's background in computer science, his early experiences with computers in school, the balance between theory and practical aspects of computer science during his studies, his research on hardware design and signal processing, and his introduction to neural networks and their application in predicting tool wear. The podcast can be accessed here: https://www.youtube.com/watch?v=w7ynXtk5Ovc
News
Podcast with Prof. Dr. Bernhard Sick
Recently, Log16, a student podcast at the University of Kassel, interviewed Prof. Dr. rer. nat. Bernhard Sick. In this, he discusses various topics such as the evolution of AI in the past and present, the symbiosis between hardware and AI, and his journey to becoming a professor at the University of Kassel. The conversation touches upon various topics, including Prof. Sick's background in computer science, his early experiences with computers in school, the balance between theory and practical aspects of computer science during his studies, his research on hardware design and signal processing, and his introduction to neural networks and their application in predicting tool wear. The podcast can be accessed here: https://www.youtube.com/watch?v=w7ynXtk5Ovc
Dates
Podcast with Prof. Dr. Bernhard Sick
Recently, Log16, a student podcast at the University of Kassel, interviewed Prof. Dr. rer. nat. Bernhard Sick. In this, he discusses various topics such as the evolution of AI in the past and present, the symbiosis between hardware and AI, and his journey to becoming a professor at the University of Kassel. The conversation touches upon various topics, including Prof. Sick's background in computer science, his early experiences with computers in school, the balance between theory and practical aspects of computer science during his studies, his research on hardware design and signal processing, and his introduction to neural networks and their application in predicting tool wear. The podcast can be accessed here: https://www.youtube.com/watch?v=w7ynXtk5Ovc