The University of Toronto and the affiliated Vector Institute for Artificial Intelligence have announced the recruitment of two rising stars in machine learning research as part of a continued drive ...

Scientists have used machine learning algorithms to teach computers to recognize the insect feeding patterns involved in pathogen transmission. The study also uncovers plant traits that might lead ...

What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains.

Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

Hinton and collaborators then built on the technology with an array of developments that helped usher in a machine learning revolution by enabling practical applications of deep learning in speech and ...

Today NEC Corporation announced that it has developed new Aurora Vector Engine data processing technology that accelerates the execution of machine learning on vector computers by more than 50 times ...

Who: Colin Raffel, 37, associate professor of computer science, University of Toronto, and associate research director at the Vector Institute Known for: Researching how to make machine learning ...

Explore how machine learning impacts nanoscience and nanotechnology, leading to breakthroughs in material science, diagnostics, and energy solutions.

However, until recently, database applications that want to use KNN have had to use awkward workarounds involving blobs or pre-computing the nearest neighbors. MongoDB vector search indexes provide a ...