Finding hidden geothermal systems, where there is no visible sign on the surface of the heat below, is expensive and time-consuming. Zanskar says AI can help overcome these obstacles ...

This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

The president's comments are notable because the proposed deal with Netflix wouldn't include cable channels owned by Warner ...

The network is giving Kalshi, a volatile and easily gamed prediction market, authority it once reserved for actual polling.

William Shakespeare is undeniably one of the most famous writers in human history. The 39 shows attributed to the “Bard of Avon” have been performed, adapted, and studied innumerable times in the ...

The team proposed propose a novel entity-type-enriched cascaded neural network (E 2 CNN) that considers the overlap triple problem and entity-type information to construct a Chinese financial ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Abstract: Handwritten Text Recognition (HTR) in ancient manuscripts is a crucial task for preserving and analyzing historical records. Convolutional Neural Networks (CNN) offer a powerful approach to ...

Abstract: This paper introduces a deep learning-assisted joint transmit and receive beam tracking approach for uplink multiple-input multiple-output (MIMO) communication over millimeter wave (mmWave) ...

Abstract: This article proposed a wired network fault diagnosis method based on 1-D convolutional neural network (1D-CNN) and distributed reflectometer. This article improved the distributed ...