There is a great variety of unconventional computing approaches trying to compete with and even surpass the classical computers in providing a solution to high complexity problems …
Computing demands are growing rapidly as bigdata and artificial intelligence applications become increasingly tasking. Bio-inspired and quantum-based techniques are proving to be …
One of the most prominent examples of a complex system in nature is the nervous system, which exhibits oscillation phenomena across its structures, from single neurons to …
During the last decade, there is an ever-growing concern regarding the future of CMOS technology, as well as the emerging difficulties on handling upcoming technological issues …
As conventional computing systems are striving to increase their performance in order to compensate for the growing demand of solving difficult problems, emergent and …
Unconventional circuits with built-in memory and computing functionalities are becoming the cornerstones of artificial intelligence (AI) at the edge. In the currently deployed systems …
There is a continuous urge for higher efficiency in conventional computing systems, driven by an ever-growing demand for these systems' complexity to be able to match the one of …
Learning Automata (LA) in combination with Cellular Automata (CA) have been proven to be viable candidates as a mean to deal with problems of high complexity. Their ability to learn …
Pattern recognition is a critical aspect of modern computing and artificial intelligence, enabling robotic and computing systems to classify and categorize information based on its …