Artificial intelligence in the cyber domain: Offense and defense

Artificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis. In the cybersecurity domain, AI-based techniques can provide better cyber defense tools and help adversaries improve methods of attack. However, malicious actors are aware of the new prospects too and will probably attempt to use them for nefarious purposes. This survey paper aims at providing an overview of how artificial intelligence can be used in the context of cybersecurity in both offense and defense.Web of Science123art. no. 41

Optimization of Quadratic Assignment Problem Using Self Organising Migrating Algorithm

This paper introduces the primary research involving Self Organinsing Migrating Algorithm (SOMA) to the permutative problem of Quadratic Assignment. SOMA is transformed from its canonical form to successfully solve permutative optimization problems. Conversion and repairment routines are added to the generic SOMA. The results presented outline the high effectiveness of SOMA for solving QAP problems

A RECIPE FOR JUMP-LIKE PROGRESS IN SCIENCE – ILLUSTRATED BY 6 EXAMPLES

Does there exist a method to boost scientific and humanitarian progress? Six cases in point are offered. The featured protagonists are: Zwicky, Einstein, Conrad, Reichardt, Szilard and Everett. The six breakthroughs offered are: (1) stationary cosmology (combined with a promising terrestrial fusion technology); (2) global-cgeneral relativity; (3) well-stirred life; (4) Pandaka-pygmaea based brain science; (5) an interactively reared wiser biological intelligence; (6) an experiment proving personalized assignment of the physical world

Multiswarm PSO with supersized swarms - Initial performance study

In this paper it is discussed and briefly experimentally investigated the performance of multi-swarm PSO with super-sized swarms. The selection of proper population size is crucial for successful PSO using. This work follows previous promising research. © 2016 Author(s)