The 20th Embedded Talk will take place on May 13, 2026, at 1:00 PM at Josephs in Nuremberg (Augustinerstraße 19, Nuremberg). Immerse yourself in the world of neuromorphic hardware and learn more about the latest developments, especially in the area of hardware architectures inspired by human brain structures.
The pursuit of truly autonomous embedded systems is rapidly driving research and development in the “Embedded AI” and “Post-Silicon Technologies” research areas of the FAU Research Center ESI. The demand for artificial intelligence directly integrated into electronic systems—from intelligent sensors to fully autonomous robots—is constantly increasing. However, realizing this vision presents significant challenges.
To overcome these challenges, scientists are increasingly researching neuromorphic computing, a paradigm shift in hardware design for AI. Neuromorphic computing aims to develop hardware for processing AI tasks that is energy-efficient, low-latency, and cost-effective. It is modeled on the biological brain.
This Embedded Talk will discuss the potential and challenges of neuromorphic hardware. The presentations and discussions will be held in English.
The Embedded Talk is an established event series that serves as an ideal information and communication forum, fostering regular exchange between experts from academia and industry.
Agenda
| 13:00: | Welcome Remarks |
| Prof. Dr.-Ing. Jürgen Teich, Speaker FAU ESI, FAU Erlangen-Nürnberg | |
| 13:15: | Keynote: Neuromorphic Computing at Cloud-Level: Hardware and Use Cases |
| Prof. Dr.-Ing. habil. Dr. sc. nat. Christian Mayr, Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics, TU Dresden | |
| 14:00: | TBA |
| Prof. Dr. Johannes Schemmel; Neuromorphic Computing Architectures Group, Uni Heidelberg | |
| 14:45: | Coffee Break |
| 15:15: | TBA |
| TBA | |
| 16:00: | Panel Discussion |
| | |
| 16:45 | Get-Together and Networking |
| ~17:30 | End of the Event |
Note: This embedded talk will be held in English.
Venue
josephs
Augustinerstraße 19, 90403 Nürnberg
Registration
Register here for free.
Dr.-Ing. Torsten Klie
FAU Research Center Embedded Systems Initiative (FAU ESI)
Research associates