Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to ...

Sber's GigaChat 2.0 is now available to all users, the company announced on Monday, adding that thanks to a new approach to t ...

Photo: TheStage AI Elastic models In the rapidly evolving artificial intelligence landscape, one of the most persistent ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

Every business wants to capitalize on AI, but they must consider each tool’s security and ethical implications, as well as ...

The transformative aspect of merging quantum computing with classical neural networks has been phenomenal in this fast-paced digital era. Here, Karthikeyan Raja ...

Researchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of the Russian Academy of Sciences, have developed a method that allows ...

Abstract: This study proposes an efficient Artificial Neural Network (ANN) model for predicting the dimensions and feed point of microstrip patch antennas with three types of geometrical shape. The ...

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing ...

Modern AI LLMs can seem almost magical when you use them. But, just like even the best magic tricks, there is an explanation ...