Removing the bottlenecks Sample Clauses

Removing the bottlenecks. In the HBP Report to the European Commission, April 2012, which led to the HBP being chosen as one of the two Future and Emerging Technologies Flagships of the European Union, the main objectives of the project fell under three categories: future neuroscience, future medicine, and future computing and robotics. For this last category, the potential benefits of the project were summarized as follows: it had the potential to overcome fundamental limits on the performance and capabilities of conventional computing technology by contributing to the development of a completely new category of low- energy computing systems with ‘brain-like intelligence’, and to ‘embody’ these breakthroughs into neurorobots.61 Over three years on, as the initial 30-months Ramp-Up Phase of the HBP comes to a close, and despite significant changes in its governance and scientific agenda, the Framework Partnership Agreement defining the trajectory of the Project for the remainder of its lifetime reiterates such expectations regarding its contribution to the future of computing and robotics: “The human brain performs information processing tasks that are inaccessible to the most powerful of today’s computers - all while consuming no more power than a light bulb. Understanding how the brain ‘computes’ reliably with unreliable elements, and how different elements of the brain communicate, can provide the key to a completely new category of hardware (Neuromorphic Computing Systems) and to a paradigm shift for computing as a whole. What is more, neuroscience will be a driver for more powerful and highly interactive computing systems as well as innovative visualization technologies. The economic and industrial impact is potentially enormous.”62 This aim of taking inspiration from the human brain to improve information processing performances while lowering energy consumption requires some clarification. There are tasks like routinized logical number crunching that traditional Xxx Xxxxxxx computer architectures are extremely efficient at and much better than human brains, and there is much work on this in data analytics and data mining. The main goal of the HBP may be a completely new kind of computing systems, training the neural networks that will run on the neuromorphic chips developed in the Neuromorphic Computing Subproject (SP9) also requires ameliorations in this type of number crunching, which remains crucial. The HBP, via the High Performance Computing and Data Analytics Subprojec...
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