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

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

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

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 ...