The project reportedly began in January 2020 with a team that included researchers from Leti, IMEC, IBM Zurich and the China-backed Swiss startup SynSense AG (see Swiss neuromorphic startup changes name, raises money).
The official title of the 42-month project is 'Memory technologies with multi-scale time constants for neuromorphic architectures' shortened to MeM-Scales. The project is 100 percent funded by European Union tax payers to the amount of €3,950,628 and 75 eurocents according to the Horizon2020 project page here. Under the contract SynSense receives €200,000.
The plan is for MeM-Scales to build novel memory and device technologies and autonomous learning algorithms to support on-chip learning for both synapses and neurons. This would be done with a view to merging biological and electronic sensing and computation in such applications as distributed environmental monitoring, implantable medical diagnostic microchips, wearable electronics and human-computer interaction.
The results will be used to build neuromorphic computing systems that can process efficiently real-world sensory signals and natural time-series data in real-time and to demonstrate this with a practical laboratory prototype. This will enable low-power and always-on IoT and edge-computing computing processing systems for applications do not need to, or cannot afford to, connect to the cloud.
Next: Nine orders of magnitude