Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...
“Traditional classifiers can have high performance, with low latency and operating cost," OpenAI said. "But gathering a ...
Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...
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 ...
Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...
Scattering Mechanism Inspired Non-Gaussian Diffusion Model for Polarimetric SAR Image Classification
Abstract: The diffusion model has achieved excellent performance in natural image processing, which can learn the noise distribution through the degradation and restoration processes. However, the ...
The new Gemini 2.5 Computer Use model can click, scroll, and type in a browser window to access data that’s not available via an API. The new Gemini 2.5 Computer Use model can click, scroll, and type ...
Taking to the social media platform X on Monday, the investor said that the new product launch from Tesla would most likely be a trimmed-down version of the Model Y crossover SUV, adding that he had ...
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