Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

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

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

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

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

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

How Can We Ensure Non-Human Identities Remain Protected? Are your organization’s Non-Human Identities (NHIs) secure from the impending cyber threats lurking in digital corners? While we delve into the ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

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

The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the ...