As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Has sports betting changed? Absolutely! Statistics and numerical analysis have completely re-shaped how betting works. In the ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...