In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
Abstract: With the rapid advancement of technologies such as B5G/6G and edge computing, network scenarios are becoming increasingly complex and diverse, leading to the emergence of slicing networks.
This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...
A recent study suggests that cyberattacks on future, AI-guided spacecraft could be thwarted by unpicking what the AI has been "thinking." ...
The team reported that their AI copilot solution improved performance by a factor of 3.9 times for the paralyzed participant ...
In this Q&A, Quant CEO Chetan Dube reflects on the seismic shifts A.I. is bringing to work, society and the global economy. He discusses agentic A.I.’s rise could reshape how we define ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...
It might sound surprising, but a quick look at your eyes can tell doctors far more than whether you need glasses. The retina is packed with ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...
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