From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...
The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in computing.
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Abstract: Interharmonics diagnosis is increasingly important due to the rise of power electronic devices, renewable energy systems, and related technologies. The IEC 61000-4-7 standardizes the ...
1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
Bow-tie architecture (BTA) is widely observed in biological neural systems, yet the underlying mechanism driving its spontaneous emergence remains unclear. In this study, we identify a novel formation ...
Abstract: Objective: Repetitive transcranial magnetic stimulation (rTMS) is an effective non-invasive neuromodulation technique promoting motor function recovery in stroke patients. Our study aimed to ...
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