Learn to choose the ideal machine learning algorithm for your project with insights into problem types, data characteristics, and more.

Multiple machine learning algorithms, including SVM, Ada, DT, RF, and KNN, were employed to detect muscle function across different age groups (young and old), achieving a remarkable accuracy of 93.48 ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Learning algorithms articles from across Nature Portfolio A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data.

Generative AI is a headline act in many industries, but the data powering these AI tools plays the lead role backstage. Without clean, curated, and compliant data, even the most ambitious AI and ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...