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.
For me, neuromorphic implies spikes. Historically, it is restricted to sub-threshold analogue, which of course excludes SpiNNaker. Today I think it is wider, and covers all brain-inspired computing models that use spikes for primary communication. But we do need to be inclusive, encourage convergence with ANNs and machine learning.
– Steve Furber