Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Machine learning methods are widely used in engineering and natural science fields to interpret and model data, and increasingly in the social sciences as well.

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...

Dr Paul Yousefi is a data scientist who applies emerging methods in machine learning and statistical prediction to develop multi-dimensional genomic biomarkers of health risk factors, patterns of ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...