This year’s finalists of ITU's AI for Good Machine Learning in 5G Challenge share their stories of success, trial and ...

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate ...

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate artificial intelligence research using health data, addressing longstanding ...

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...

New York, USA — US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models.US-DATA, a data annotation company specializing ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

Muskaan Mukherjee is a student. Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as ...

Is China picking back up the open source AI baton? Z.ai, also known as Zhupai AI, a Chinese AI startup best known for its powerful, open source GLM family of models, has unveiled GLM-5.1 today under a ...

Abstract: Data preprocessing plays a critical role in the success of machine learning and deep learning models in the medical and healthcare field. As the availability of healthcare data continues to ...

This repository contains an analysis of the Kaggle Machine Learning & Data Science Survey dataset, focusing on salary prediction using ordinal logistic regression and other classification models. A ...