Shares of Japanese semiconductor equipment maker Advantest jumped over 7% after the company posted record quarterly sales in ...

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

Jan 28 (Reuters) - IBM beat Wall Street estimates for fourth-quarter ‌revenue ​and profit on Wednesday, as the ‌rapid ...

SugarCRM stands out with its extensive customization options, cross-functional capabilities, and AI-powered analytics. It ...

Monday.com provides a versatile solution for managing customer relationships, featuring customizable pipelines, powerful ...

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

This repository contains a Deep Neural Network (DNN) solution for the Kaggle Rossmann Store Sales competition. The goal is to forecast daily sales for 1,115 Rossmann stores across Germany using ...

Macy’s raised its sales forecast for the year after strong results at its upscale chain, highlighting how higher-income consumers continue to spend relatively freely. By Jenny Gross Macy’s, the ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

ABSTRACT: Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops ...