Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
WiMi Hologram Cloud Inc. (NASDAQ:WIMI) stock surged 11.3% on Monday after the company announced the launch of its independently developed Quantum Convolutional Neural Network for Multi-Channel ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The new all-flash device combines workstation performance, on-device AI, and power independence to replace the laptop in professional field ...
Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...
Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...
The increasing demand for sustainable materials has highlighted the importance of biocomposites; however, their computational analysis is challenging due to the high cost associated with traditional ...
Research on short-term line loss rate prediction method of distribution network based on RF-CNN-LSTM
Under the background of the new distribution network, the power fluctuation on the line is increasing, which leads to more uncertainties in the predicted line loss rate, thus affecting the economic ...
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