Vector databases are ideal for applications where the goal is to find data points similar to a given vector. For example, a vector database can find images similar to a given image, or text ...

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how.

Qdrant founding team. Image Credits: Qdrant Image Credits:Qdrant — Qdrant founders. Since the turn of the year, we’ve also seen Index Ventures lead a $9.5 million seed round into Superlinked ...

Vector databases are at the heart of this, because that’s how data created by AI modelling is stored and from where it is accessed during AI inference.. In this article, we look at vector ...

Researchers at Florida Atlantic University have developed an automated method to detect and remove mislabeled data before ...

On Tuesday, Adobe announced major updates to AI image synthesis features across several products, including Photoshop, Illustrator, and Adobe Express. The updates include three new generative AI ...

Available in preview through Azure Cognitive search, Vector Search uses machine learning to capture the meaning and context of unstructured data, including images and text, to make search faster ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Here, we adapt this raster/vector concept to a 2D colloidal system and realize ‘vector assembly’ by manipulating particles on a colloidal monolayer substrate with optical tweezers.