Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
Sber opens weights of two new flagship MoE models in the GigaChat series — Ultra Preview and Lightning — trained from scratch ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...
Researchers at Sandia National Laboratories have developed AI algorithms to detect physical problems, cyberattacks and both at the same time within the grid. “As more disturbances occur, whether from ...
Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
Thank you very much for your outstanding work. Recently, I came across your research results and was immediately intrigued. I attempted to train a parameter autoencoder using my own set of parameters, ...
MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...
Chain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly ...
1 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran 2 College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, United Kingdom ...
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