YouTube channels from major news publishers and creators were in video data sets used by Microsoft, Meta, Snap, Runway, and ...

The final, formatted version of the article will be published soon. Objective:We developed interpretable machine learning(ML) models to predict the overall survival(OS) of esophageal cancer patients.

Tiered storage will help enterprises reduce their storage expenditure as they continue to adopt AI use cases for various ...

“Traditional classifiers can have high performance, with low latency and operating cost," OpenAI said. "But gathering a ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

Alkira, a leader in Network Infrastructure as a Service (NIaaS, is introducing Alkira Model Context Protocol (MCP) Server alongside the launch of Alkira NIA (Network Infrastructure Assistant)-an AI co ...

Jonathan Ross, the CEO of AI chip company Groq, told CNBC that the Middle East is "the ideal place" for data centers.

Background Smoke-free and aerosol-free households (SAFHs) reduce exposure to secondhand smoke and aerosol and support ...

Abstract: In Internet of Things (IoT) networks, the IoT sensors collect valuable raw data required to sustain Artificial Intelligence (AI) based networks operation. AI models are data-driven as they ...

Abstract: This paper presents a two-step method to automatically and accurately segment the dental crown components from CT images. Firstly, a multi-scale attention based U-Net model is proposed for ...