AJ2 to Demonstrate Proprietary Algorithm–Hardware Integrated Iris Recognition Platform at CES 2026

SEOCHO-GU, SEOUL, SOUTH KOREA, January 1, 2026 /EINPresswire.com/ — AJ2 (CEO Gil Soo Jung) announced that it will demonstrate its proprietary algorithm–hardware integrated iris recognition platform at ...
IEEE

Convolutional Neural Network (CNN) with Bat Algorithm Optimization and Word2Vec Feature Expansion for Information Credibility Detection on Social Media X

Abstract: X is one of the most popular social media platforms for rapidly disseminating information. However, not all information circulating on X is credible; there are hoaxes and rumors, especially ...
IEEE

Exploring Color Features with Nasnet CNN and Improved Water Cycle Algorithm for Product Emotional Design

Abstract: This research investigates the multidimensional domain of color image optimization design for emotional product color design, in this case, tricolor product color schemes. By introducing ...

Michael Douglas and Catherine Zeta-Jones Respond to CNN Boycott Rumors: 'News to Them'

Michael Douglas and Catherine Zeta-Jones are setting the record straight regarding rumors they are boycotting CNN. These ...

AI hiring is here. It’s making companies — and job seekers — miserable

As America’s labor market slows, AI-led interviews and auto-generated cover letters are dramatically changing the process of getting a job. And maybe not for the better.
IEEE

AS-Faster-RCNN: An Improved Object Detection Algorithm for Airport Scene Based on Faster R-CNN

Abstract: Currently, the rapid development of the aviation industry has made the safety of the airport becomes more and more important. The most important part of this is the capability of ...
The New York Times

CNN, Unwanted by Netflix, Is Excluded From a Sale, for Now

The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...
IEEE

Feature-Enhanced Faster R-CNN for Small Object Detection in Complex Scenes

Abstract: This study proposes a feature-enhanced Faster R-CNN algorithm to address the challenges of dense targets, varying object shapes, and complex backgrounds in remote sensing image detection.