Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply
DisrupSys
Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply
Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024
Teaching Person: Dr. Lennart Bamberg (NXP Semiconductors, Hamburg)
Dr. Bamber is a Senior Principal AI/ML Architect at NXP Semiconductors in Hamburg, Germany. He is involved in research and design of the most recent architectures for accelerating machine learning applications.
Content: Students get a first-hand insight into most recent architectures and advances for hardware acceleration in machine learning. Without such acceleration, newest developments would not be affordable as standard hardware is too power-hungry and does not deliver the computational performance needed.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik