D. A. Larionov, D. A. Ivanov, M. V. Kiselev, “Neuromorphic artificial intelligence systems”, Intelligent systems. Theory and applications, 2022, Volume 26, Issue 1,Pages <nobr>327

Part 7. Neuromorphic artificial intelligence and cognitive systems

Neuromorphic artificial intelligence systems

D. A. Larionov^a, D. A. Ivanov^ab, M. V. Kiselev^c

^a PI Cifrum, Rosatom, Artificial Intelligence Department
^b CMC MSU
^c Chuvash State University, Laboratory of Neuromorphic Computing

Abstract: Modern artificial intelligence (AI) systems based on the von Neumann architecture have a number of fundamental limitations compared to the brain. In the paper, we partially revealed these limitations, proposed the principle of classification of AI neuromorphic systems and presented a comparative analysis of popular neuromorphic projects in the context of the proposed classification.

Keywords: Artificial intelligence, neuromorphic systems, local learning, spiking neural networks, sparse computing, in-memory computing, analog computing.