CORDIS Project
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This project focuses on developing a generic implementation of artificial neural networks on field-programmable gate arrays (FPGAs). It aims to provide an efficient alternative to traditional computing methods, enabling faster and more compact solutions for various applications in artificial intelligence and autonomous…
Artificial neural networks have been shown to offer a powerful computing approach to encounter many classification problems as in synthetic vision (e.g. autonomous driving) and artificial intelligence (e.g.
AlphaGo).
While their implementations are often based on power-hungy CPU- and GPU-installations, first researchers have delivered initial application-specific solutions that demonstrate FPGAs to be a feasible and efficient alternative.
This proposal aims at providing a generic reference imple…
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