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Amoeba-inspired method could enable energy-efficient hardware for complex optimization
Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...
Neural networks have become a versatile toolkit for tackling optimisation tasks that range from classical linear and quadratic programmes to complex nonconvex and sparse recovery problems. By casting ...
Researchers explore how amoebae can be used to develop highly energy-efficient computing systems, aimed at solving complex ...
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