July 2021

The project NEUROTEC (“Neuro-inspired artificial intelligence technologies for the electronics of the future”) was launched in November 2019 to develop innovative "Beyond von Neumann" concepts for highly energy-efficient devices. The two-year project shows the great potential of a future neuromorphic computer.

The project aims to fuse two major technologies - machine learning and artificial neural networks (ANNs) and memristive materials and devices - especially redox-based RRAM and phase change memories (PCM). The project's mandate is to develop a full-range of basic technologies ranging from dedicated material deposition technologies, integration technologies, measurement technologies, the development of simulation and modelling tools, up to the design and realization of novel AI circuits.

Israel-based RRAM developer Weebit Nano announced that it completed the design and the tape-out of its first embedded RRAM module. This integrated test-chip will be used as the final platform for testing and qualification, ahead of customer production.

Weebit says that it has used its patent-pending analog and digital smart circuitry to significantly enhance the array's technical parameters, including speed, retention and endurance. The test chip comprises a full sub-system in which the module is embedded, enabling potential customers to use it as a development and prototyping platform for new products such as low-energy IoT devices.