The University of Applied Sciences, FH Campus Wien
Abstract: Despite the significant successes of AI, particularly deep learning, in areas such as image recognition, natural language processing, and autonomous vehicles, substantial challenges remain open to investigate. One of the most pressing issues is the high energy consumption of AI applications, especially on embedded devices and within the Internet of Things (IoT). Neuromorphic computing, inspired by biological brains, offers a potential solution by achieving high performance with significantly lower energy consumption than modern deep neural networks. This talk will present key concepts of neuromorphic computing and explore its application at the edge in IoT. Finally, it will discuss open problems and provide an outlook for the future.
Biography: DI Dr. techn. Mugdim Bublin studied Electrical Engineering at the Technical University of Vienna, earning his DI in 1997 and PhD in 2004. He spent almost 20 years at Siemens, focusing on Radio Resource Management Algorithms for 3G and 4G mobile networks, patent management, and machine learning. He also contributed to automotive software safety at Bosch. Since 2019, he has been affiliated with the University of Applied Sciences, FH Campus Wien. In 2021, he was appointed the City of Vienna Endowed Professor of Artificial Intelligence. His extensive research has resulted in numerous publications and patents, particularly in the application of AI in mobile networks, IoT, sensor technology and industry.