Abstract: Deep neural networks (DNNs) have shown impressive performance in computer vision tasks, driven by the availability of large datasets and advanced deep learning techniques. This success has ...

Illustration of space debris in Earth orbit from NORAD's satcat catalog Credit: Yeus via Wikimedia Commons; CC BY-SA 3.0 You may not see it with the naked eye, but in Earth’s orbit, a silent crisis is ...

Conservative pundit Scott Jennings, a CNN political contributor since 2017, has landed a new gig. He will be filling a two-hour midday slot at Salem Radio Network, a conservative media company, ...

SHENZHEN, China, Oct. 24, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network ...

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...

The first application of the technology, Neural Super Sampling (NSS), is an AI-driven upscaler capable of doubling resolution (from 540p to 1080p) at a small cost of 4ms per frame. According to Arm, ...

At SIGGRAPH 2025 today, Arm pulled the wraps off Neural Super Sampling (NSS), its first AI-driven upscaling technology designed for mobile GPUs. It's the debut application of "Arm neural technology," ...