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 ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Forbes contributors publish independent expert analyses and insights. I report on media as well as its intersection with news and culture. Mark Thompson, chairman and CEO of CNN Worldwide, speaks ...

Abstract: To categorize remote sensing images from a dataset with ten classes-'harbor', 'chaparral', 'tennis_court', 'industrial_area', 'parking_lot', 'forest', 'beach', 'overpass', 'airplane', and ...

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...

The United States will have control over TikTok’s algorithm in the acquisition of the social media platform’s US operations, White House press secretary Karoline Leavitt said on Saturday. “We are 100% ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

The rapid advancement of Artificial Intelligence (AI) and the integration of digital technologies present transformative opportunities to improve productivity, safety, and efficiency in construction ...

Abstract: The application of preprocessed Kaggle data serves as a subject of analysis to investigate heart attack prediction capabilities through machine learning models. The research examines ...