Neuromorphic Computing Technology (NCT) is a brain-inspired sensing and processing hardware for more efficient and adaptive computing.
NEUROTECH project aims to create and lead NCT community in Europe.
NCT community builds hardware inspired by biological neural systems using digital and analogue CMOS technologies, memristive devices, photonics, spintronics, and other nano-technological solutions. This technology, we believe, will revolutionise the field of computing and, in particular, artificially intelligent systems, since it provides orders of magnitude more power efficient real-time computing platforms for embedded cognitive processing. Our mission is to catalyse research and collaboration in NCT. Today's neuromorphic community in Europe is leading the state of the art in this domain. The community counts an increasing number of labs that work on theory, modelling, and implementation of neuromorphic computing systems.
We aim to enable the uptake of this technology and to match the needs of real-world applications in future products that solve real-world tasks. The envisioned applications are in smart industry, health-care, intelligent assistive systems, cognitive robotics, and consumer devices. We aim to create a sustainable communication channel between research labs, industry, general public, and other stakeholders.
NEUROTECH project assembles and curates a coherent collection of educational resources on all aspects of NCT, to promote core educational events on NCT, and to disseminate NCT curriculum to other communities.
From the viewpoint of someone developing Neuromorphic algorithms, NCT implies massively parallel computing with large numbers of lightweight compute units, which communicate via tiny timed messages. Information is primarily encoded in the source, timing, and sequence of events, rather than included explicitly in complex messages. Information is mainly local to the compute units, and learning happens locally too, at the connections between those units. This happens to be similar to how spiking networks in the brain operate.
– Michael Schmuker