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, ...

Muqing Li has been assigned as the Lead Performance Engineer for the largest solar-plus-storage project in the United States, commissioned by AES Corporation, a Fortune 500 global energy leader. At ...

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

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

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 ...

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 ...

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

The research introduces a deep learning system that combines convolutional neural networks (CNNs ... At the center of the system is a dual-branch CNN architecture that processes two distinct data ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke ...