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

A new pro-AI network of political action committees is releasing its first candidate ads in the 2026 midterms, as the debate around artificial intelligence ramps up ahead of the elections.

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 ...

It's a tough time for CNN, which looks like it will be in management limbo for some time with Paramount Skydance's hostile ...

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) ...