Silicon Valley’s mega AI spending spree isn’t slowing down anytime soon. But Wall Street’s patience to see a return might be wearing a little thin.
Abstract: A classification system that utilizes the convolutional neural network (CNN) is established for real-time bearing fault detection. The system consists of acquiring the vibration signals ...
South Korea’s president downplays US trade rift and welcomes Trump as ‘peacemaker’ ...
An image of a rare hyena standing in front of an abandoned building in a former diamond mining town in Namibia has won the Wildlife Photographer of the Year 2025 award. Shot by South African ...
The forecast for the powerful and deadly storm that battered small communities in western Alaska over the weekend was likely made worse by a lack of weather data triggered by the Trump ...
Abstract: Spaceborne synthetic aperture radar (SAR) is widely used in ocean wave monitoring due to its high resolution and all-weather observation capability. Rainfall distorts sea surface wave ...
Karoline Leavitt took a timeout from her feud with the mainstream media to celebrate CNN on Wednesday. The White House press secretary shouted out the network’s data guru, Harry Enten, and shared a ...
CNN chief data analyst Harry Enten on Tuesday explained how Republicans have “taken over” X/Twitter since the platform was bought by Elon Musk. During a Tuesday morning segment on CNN, Enten took a ...
Abstract: Evaluating image quality without reference images, known as blind image quality assessment (BIQA), is crucial for image communication. Recently, convolutional neural networks (CNNs) have ...
Abstract: Lung cancer one of main causes of cancer, one of the most deadly illnesses in the world. However, a life can be saved if discovered early. In this research, deep learning model for CT image ...
Can AI create a professional headshot for your LinkedIn profile? See CNN producer's results ...
Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...