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

Here are some memorable examples of when that process paid off this year: when a few numbers, the shape of a line, or the ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

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

Abstract: Technology development has led to increased data generated in education, sparking interest in information extraction to support educational management through automated data analysis. Using ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...