This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

A team of researchers at Rice University and Baylor College of Medicine recently developed a new strategy for identifying ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Although AI tools collect people’s data, and the way this accumulation of data affects people’s data privacy is concerning, the tools can also be useful. AI-powered applications can streamline ...

They then applied principal component analysis, an unsupervised machine learning technique, to analyze this data and help identify anomalous behaviors by learning the normal operational patterns ...

Researchers have developed a new machine learning algorithm that excels at interpreting ... producing a distinct pattern -- like a fingerprint. Optical spectroscopy, which entails shining a ...

Support Vector Machines (SVMs) are a traditional machine learning algorithm that is widely utilized in image recognition and classification ... RNNs can generate descriptive captions or detect ...

In machine learning, pattern recognition employs advanced algorithms to detect and analyze regularities within data. This field has wide-ranging applications, particularly in technical domains such as ...

After all, many “traditional” machine learning algorithms have been solving important ... exploring the data’s patterns and structure, finding groups of similar objects, and detecting ...