Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

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 ...

Nvidia announced DLSS 4.5 at CES today, an update to its deep learning super sampling (DLSS) feature that improves image quality on all RTX graphics cards now and extends its frame generation ...

+This project focuses on building a Convolutional Neural Network (CNN) using Keras (TensorFlow backend) to classify images into two categories: Dog and Cat. + +The objective is to learn meaningful ...

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 ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

Anderson Cooper may no longer always be the anchor on CNN who is most watched regularly by viewers, but the news outlet believes he’s still worth keeping on the roster. Cooper in recent weeks signed a ...

CNBC to incorporate Kalshi prediction markets across TV, digital, and subscription properties New York, NY, December 4, 2025 — CNBC and Kalshi today announced a multi-year, exclusive partnership to ...

Oct 31 (Reuters) - Perplexity will display pictures from Getty Images across its AI search and discovery tools under a multi-year deal that sent the visual content company's shares (GETY.N), opens new ...

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 ...