Abstract Storage and retrieval of data in a computer memory play major role system performance. Traditionally, organization is ‘static’—i.e. it does not change based on the application-specific characteristics access behaviour during operation. Specifically, case content-operated (COM), association block with search pattern (or cues) granularity (details) stored do evolve. Such static nature me...

Abstract In this paper we present a brain-inspired cognitive architecture that incorporates sensory processing, classification, contextual prediction, and emotional tagging. The is implemented as three modular web-servers, meaning it can be deployed centrally or across network for servers. experiments reveal two distinct operations of behaviour, namely high- low-salience modes operations, which...

Abstract The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) task—a Generative Adversarial Network (GAN), and Multi-Layer Perceptron architecture. These can be used in standalone fashion, but we also show how embedding these into hybrid neuro-genetic IK pipeline allows further optimization via sequential least-square...

Optimized SAT solvers not only preprocess the clause set, they also transform it during solving as inprocessing. Some preprocessing techniques have been generalized to first-order logic with equality. In this article, we port inprocessing work superposition, a leading proof calculus, and strengthen known techniques. Specifically, look into elimination of hidden literals, variables (predicates),...