Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

Iowa Democrat Christina Bohannan has centered her congressional campaign on a blue-collar biography, repeatedly describing herself as someone who knows “what it’s like to struggle to put food on the ...

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A new Apple research paper argues that AI imaging editors are currently trained on inadequate image sets — so Apple Intelligence researchers have released an improved one. Now the researchers have ...

Adobe said on Tuesday that it is launching the latest iteration of its image generation model, Firefly Image 5. The company is also adding more features to the Firefly website, support for more ...

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2.5 models. Here are the details. Apple’s research team has ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...