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.

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has ...

SAN MATEO, Calif., April 18, 2023 — Rockset, the real-time analytics database built for the cloud, today announced native support for vector embeddings, enabling organizations to build ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

A research team led by Professor Shin Da-yeon of Inha University's Department of Food and Nutrition has discovered a new ...