TikTok users “absolutely justified” in fearing MAGA makeover, experts say

A TikTok USDS spokesperson told Ars that US owners have not yet made any changes to the algorithm or content moderation ...
AZoBuild

Structural Cracks Don’t Stand a Chance Against This Dual-Module AI

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and more accurate inspection method.
EDN

CES 2026: AI, automotive, and robotics dominate

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
IEEE

Hybrid Beamforming for 5G MIMO based on Deep Learning Algorithm

Abstract: Hybrid beamforming for massive MIMO systems has attracted much interest due to its potential in next-generation wireless communications. Conventional beamforming methods, such as Matched ...
IEEE

Deep Learning-Driven Diagnosis of Polycystic Ovary Syndrome (PCOS): A High-Accuracy CNN-Based Approach

Abstract: Women of reproductive age are frequently affected by PCOS, a common endocrine condition that frequently results in infertility and metabolic issues. This work uses a dataset of 44 clinical ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...
IEEE

Hybrid CNN-LSTM Model for Accurate Time Series Forecasting: A Deep Learning Approach

Abstract: Time series data analysis is essential in a variety of fields, such as finance, meteorology, and healthcare. Traditional methods often struggle to capture the complex temporal correlations ...
CNN

NASA could be weeks away from its biggest test in decades

The aspiration of returning American astronauts to the moon has been in limbo for decades, as plans have been embraced and rejected from one presidential administration to the next. In 2026, however, ...