Abstract: Electrical impedance tomography (EIT) is a novel imaging technique for lung monitoring. Due to traumatic injuries or surgical reasons, the number of electrodes for current injection and ...

Abstract: Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI ... To address these issues, we proposed a local–global feature extraction network with dynamic 3 ...

基础科学研究所认知与社会性中心主任 C. Justin Lee 博士表示:“我们人类能迅速发现拥挤场景中的关键点。我们的 Lp-Convolution 模仿了这种能力，让 AI 能像大脑一样，灵活地聚焦于图像中最相关的部分。” ...

The Lp-Convolution technique enhances AI image recognition, mimicking brain processes to improve accuracy and efficiency while reducing computational demands.

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China Shenzhen Institute of Shandong University, Shenzhen 518057, P. R. China School of ...

Hefei National Research Center for Physical Sciences at the Microscale, Department of Physics, and CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics, University of Science and Technology ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...