Neuromorphic computing is henceforth a major research field for both academic and
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …

In approximate computing, the requirement of perfect functional behavior can be relaxed
because some applications are inherently error resilient. Approximate circuits, which fall into …

Bio-inspired computation, short for biologically inspired computation, is the use of computers
to model the living phenomena, and simultaneously the study of life to improve the usage of …

Research in substrate-based computing has shown that materials contain rich properties
that can be exploited to solve computational problems. One such technique known as …

Evolution is one of the major omnipresent powers in the universe that has been studied for
about two centuries. Recent scientific and technical developments make it possible to make …

To improve the reliability of spaceborne electronic systems, a fault-tolerant strategy of
selective triple modular redundancy (STMR) based on multi-objective optimization and …

This paper deals with evolutionary design of approximate circuits. This class of circuits is
characterized by relaxing the requirement on functional equivalence between the …

Field programmable gate arrays (FPGAs) are considered as a good platform for digital
evolvable hardware systems. Researchers introduced virtual reconfigurable circuits as the …

In this work, Field-Programmable Gate Array (FPGA) reconfigurability is exploited to realize
autonomous fault recovery in mission-critical applications at runtime. The proposed Netlist …

In this article a new architecture for hardware implementation of genetic algorithm in
reconfigurable embedded systems is presented. The main idea is based on the efficient use …