The usefulness of an artificial analog neural network is closely bound to its trainability. This paper introduces a new analog neural network architecture using weights determined...
Johannes Schemmel, Karlheinz Meier, Felix Schü...
Missions to planets with unknown environmental condition, have recently been approached with new ideas, such as use of biology-inspired mechanisms for hardware sensor adaptation. I...
Didier Keymeulen, Ricardo Salem Zebulum, Adrian St...
Abstract. The exploitation of the physical characteristics has already been demonstrated in the intrinsic evolution of electronic circuits. This paper is an initial attempt at crea...
A system for intrinsic hardware evolution of analog electronic circuits is presented. It consists of a VLSI chip featuring 16 × 16 programmable transistor cells, an FPGA based PCI...
Abstract. Embryonics is a long-term research project attempting to draw inspiration from the biological process of ontogeny, to implement novel digital computing machines endowed w...
Lucian Prodan, Gianluca Tempesti, Daniel Mange, An...
Although FPGA technology offers the potential of designing high performance systems at low cost, its programming model is prohibitively low level. To allow a novice signal/image pr...
Mokhtar Nibouche, Ahmed Bouridane, Fionn Murtagh, ...
The Generic Library for Adaptive Computing Environments (GLACE) consists of a comprehensive set of module generators currently targeting Xilinx XC4000 and Virtex devices. In contra...
This paper presents parameterized module-generators for pipelined function evaluation using lookup tables, adders, shifters and multipliers. We discuss trade-offs involved between...
Oskar Mencer, Nicolas Boullis, Wayne Luk, Henry St...