Advances in innovative technologies will depend on the discovery and mastery of novel principles as opposed to boosting existing ones. One approach to answer this challenge is to translate fundamental principles underlying the unsurpassed ability of natural systems, in particular brains, to conquer the challenges of the real world into new technologies.
The Convergent Science Network for Biomimetics and Neurotechnology (CSNII) will directly contribute to this ambition by advancing the definition, federation and consolidation of research in the Future and Emerging Technology area of Neuro- and Bioinspired systems. In doing so CSNII will on one hand capitalize on the results and findings of the Coordination Action “The Convergent Science Network” (CSNI) and on the other expand the reach and impact of the European research community in this area by establishing strategic collaborations with key researchers and research communities in the USA and Japan.
New research has demonstrated that a nanoscale device, called a memristor, could be used to power artificial systems that can mimic the human brain. Artificial neural networks (ANNs) exhibit learning abilities and can perform tasks which are difficult for conventional computing systems, such as pattern recognition, on-line learning and classification. Practical ANN implementations are currently hampered by the lack of efficient hardware synapses; a key component that every ANN requires in large numbers. Read the full story at https://www.sciencedaily.com/releases/2016/10/161007084748.htm