We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MFLOPs). The new ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Technologist Anat Heilper is responsible for breathing life into the architectural complexity that makes AI possible.

Nvidia’s latest update to its AI-powered upscaling technology, DLSS 4, has officially moved out of beta with the release of a ...

Nvidia's Transformer model for DLSS has exited the beta stage and will replace the CNN-based approach very soon with DLSS 4.

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Progress in computer technology often starts with the gaming world, and innovative gaming experiences are largely driven by ...

An AI-driven framework improves early credit risk detection in internet finance by integrating CNNs and knowledge graph theory. The system enhances prediction accuracy across structured and ...

Cisco's new secure network architecture addresses the urgent challenges for enterprises in the AI era: explosive network traffic, mission-critical uptime requirements, and intensifying security ...

With no crew, no camera, little money and a lot of words, anyone can become a filmmaker today. Satyen K. Bordoloi chronicles the history of the AI filmmaking movement with an emphasis on the week that ...