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 ...
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
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Microgrippers successfully developed to handle sub-millimeter-sized, complex objects
Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
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 ...
Well, nine years later, artificial intelligence in agriculture isn’t just for the scientists. A tool developed by the four ...
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