Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

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 ...

Artificial intelligence is being harnessed by scientists to delve into the mysteries of Martian sand dunes, revealing ...

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...

Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients Whole-slide images (WSIs ...

New methods such as genomic sequencing and mass spectrometry have prompted dramatic increases in the amount of molecular data available to scientists and health care professionals seeking more refined ...

MicroCloud Hologram Inc. (NASDAQ:HOLO) stock gained 3.7% on Friday after the technology service provider announced a breakthrough in quantum computing applications for machine learning. The company ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

This study introduces ByteTrack, an AI system that analyzes bite behavior in children, offering new strategies for obesity ...