A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

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

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

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 ...

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

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

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...