CEA-Leti scientists have demonstrated a machine-learning technique exploiting what have been previously considered as “non-ideal” traits of resistive-RAM (RRAM) devices, overcoming barriers to developing RRAM-based edge-learning systems.
Dunkermotoren will by no means be disloyal to itself in the process. On the contrary. It is precisely with PROFINET that Dunkermotoren demonstrates its strength: the integration of electronics in the motor housing.
The intelligent control and monitoring of processes, machines and systems is increasingly based on large data quantities and complex algorithms, whose calculation requires specialised hardware and a high bandwidth for data communication.