aiCTX (now: SynSense)

Role in the TEMPO consortium

In TEMPO, SynSense develops a real-time machine-learning applications based on our event-driven neuromorphic processing hardware. We also perform industrial R&D to solve several questions of signal-to-spike encoding, efficient neural network inference under memory constraints and in sparse neural networks, and how to use biologically-inspired event-driven unsupervised synaptic learning rules to build supervised learning systems. SynSense employs specialists in the design and use of neuromorphic hardware, as well as specialists in neural computation, to perform these tasks.

SynSense also provides our hardware as development kits to the consortium, to enable others to build solutions using energy-efficient spike-based neuromorphic processing.