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 ...

Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...

Researchers in Japan have developed a simpler computing model inspired by the behavior of slime molds. The approach could ...

Researchers explore how amoebae can be used to develop highly energy-efficient computing systems, aimed at solving complex ...