Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Morning Overview on MSN
AI uncovers 1,300+ weird anomalies in 30 years of Hubble data
Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.
Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
The team at the European Space Agency developed a neural network called AnomalyMatch, which analyzes patterns in images and ...
Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the Stegosaurus in London. These fossils shape how you picture dinosaurs.
NASA astronomers used AI to examine Hubble Legacy Archive data, identifying over 1,300 unusual galaxies and other anomalies, including gravitational lenses and mergers.
After less than three days of scanning, AnomalyMatch returned a list of likely anomalies. It still requires human eyes at the ...
Abstract: In this paper, a method for inferring the motion intentions of a neighboring vehicle ahead of an ego vehicle using a physics-informed deep neural network-based open-set classification ...
ABSTRACT: Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail ...
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