Foresight Report on Future ICT and Robotics Sample Clauses

Foresight Report on Future ICT and Robotics. Information and Communication technologies play multiple roles in the vision of the HBP. On the one hand, ICT is a tool to enable the better integration of neuroscientific knowledge and the building of models and simulations. As the HBP Website puts it, the HBP: “aims to achieve a multi-level, integrated understanding of brain structure and function through the development and use of information and communication technologies (ICT). These technologies will enable large-scale collaboration and data sharing, reconstruction of the brain at different biological scales, federated analysis of clinical data to map diseases of the brain, and the development of brain-inspired computing systems. Through the HBP's ICT platforms, scientists, clinicians, and engineers will be able to perform diverse experiments and share knowledge with a common goal of unlocking the most complex structure in the universe... The development and use of ICT over the HBP's 10-year lifetime will pave the way for theProject's ultimate goal, simulation of the whole human brain” (xxxxx://xxx.xxxxxxxxxxxxxxxxx.xx/en_GB/mission). On the other hand, the HBP’s High Performance Computing Subproject (SP 7) seeks, not only to provide resources for the work of other parts of the HBP, but also to become a major driver for the development of ICT in Europe, and to undertake “path-breaking ICT technology research. Key topics for research will include novel accelerator technologies addressing highly scalable computational challenges, the use of hierarchical storage-class memory to increase available memory by more than an order of magnitude per core, and the realisation of interactive supercomputing at the exascale level, in particular interactive computational steering, visualisation and Big Data integration…” (xxxxx://xxx.xxxxxxxxxxxxxxxxx.xx/en_GB/high-performance-computing-platform). This work is linked to that of another Subproject on Neuromorphic Computing (SP 9) which aims to develop two neuromorphic computing platforms which model biologically realistic neurons and synapses, and will ideally radically reduce power consumption (the human brain has remarkably low energy consumption of around 20 xxxxx, many hundreds of thousands of times less than a conventional supercomputer which has a fraction of its computing power). One approach, led by the UKs SpiNNaker group has pioneered a system “using scalable digital many-core systems operating at real time with low power” … “that allows real-time simulatio...
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