Our favorite product releases this week: Lego, Kiehl’s, Shokz and more

It’s CES 2026 week! That means more product launches than anyone knows what to do with. But that’s exactly why you read CNN Underscored — we combed the web (and the Las Vegas showroom floor) to find ...

After ‘digital undressing’ criticism, Elon Musk’s Grok limits some image generation to paid subscribers

Elon Musk’s Grok chatbot has limited some aspects of its Imagine image generation features to paid subscribers on X, days ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Cold Fusion on MSN

Why Windows 11 feels like a cash extraction machine

This video explores why Windows 11 has become one of the most controversial operating systems in Microsoft’s history. Once seen as a reliable personal tool, Windows now pushes ads, cloud services, ...
Frontiers

1D-CNN for non-cooperative rotational Doppler signal extraction

The discovery of the rotational Doppler effect (RDE) has opened new opportunities for detecting parameters of rotating targets. In recent years, the physical mechanisms underlying this effect have ...
IEEE

A Chlorophyll Concentration Inversion Method Based on OWTs and 1D CNN-Transformer Feature Extraction

Abstract: The inversion of chlorophyll-a (Chla) across water bodies is challenged by the diversity of optical water types (OWTs) and by the nonlinear superposition of optical signals from optically ...
IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...