| Architectures and Algorithms for Deep-Learning Acceleration |
| Semester: |
| WiSe 23/24 |
| Veranstaltungstyp: |
| Vorlesung (Lehre) |
| DozentIn: |
| Prof. Dr.-Ing. Görschwin Fey, M. Sc. Lutz Schammer, Dr. Lennart Bamberg |
| Beschreibung: |
| 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. |
| Bereichseinordnung: |
| Studiendekanat Elektrotechnik, Informatik und Mathematik |
| Weitere Informationen aus Stud.IP zu dieser Veranstaltung |
Heimatinstitut: Institut für Eingebettete Systeme (E-13)
In Stud.IP angemeldete Teilnehmer: 79
Anzahl der Dokumente im Stud.IP-Downloadbereich: 12
|
