Nature

Support Vector Machines and Their Applications

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.
European Medical Journal

Machine Learning Shows Promise in Predicting RA Treatment Response

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Nature

Support vector machine for SAR/QSAR of phenethyl-amines

The support vector machine (SVM) is employed to investigate the structure-activity relationship (SAR)/quantitative structure-activity relationship (QSAR) of phenethyl-amines based on molecular ...
SiliconANGLE

Memory for the machine: How vector databases power the next generation of AI assistants

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...
The Next Platform

Can Vector Supercomputing Be Revived?

Seymour Cray loved vector supercomputers, and made the second part of that term a household word because of it. NEC, the last of the pure vector supercomputer makers, is so excited about its new ...