ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...
ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
The AI revolution has begun. Position yourself on the leading edge of artificial intelligence education with master’s-level expertise in the most powerful technologies reshaping our world. The ...
Cornell University researchers have developed a low-power microchip they call a "microwave brain," the first processor to compute on both ultrafast data signals and wireless communication signals by ...
A DNA-Level Convolutional Neural Network Based on Strand Displacement Reaction for Image Recognition
Abstract: Over the past few decades, convolutional neural network (CNN) has found broad applications in image recognition. Nevertheless, the operational environment of CNN is facing significant ...
Abstract: In the field of time series prediction, runoff prediction is a critical subfield. Accurate runoff forecasting is essential for optimizing water resource allocation and mitigating flood risks ...
Scientists at St. Jude Children’s Research Hospital found that, in neural development, the same set of proteins involved in cellular self-renewal can also facilitate differentiation with the right ...
Artificial intelligence is becoming the defining technology of our time, with AI jobs expected to grow by 23% through 2028, according to labor market data analyst Lightcast. To meet the increased ...
Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis. This approach is ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
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