Recent decades have witnessed remarkable progress in the study of Boolean satisfiability – the problem of determining whether a given propositional formula can be satisfied – and its natural extension ...

Hopfield Neural Networks (HNNs) constitute a class of recurrent neural networks that function as associative memory systems, adept at converging towards stable states that represent optimised ...

Inspired by spatiotemporal dynamics of an amoeboid organism that adapts to the environment highly efficiently, I formulated the “amoeba model”, which outperforms dramatically one of the most fastest ...

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...