Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

WiMi improves the accuracy of image classification by fusing the deep learning and machine learning models, utilizing the powerful feature extraction capability of the deep learning model and the ...

Machine learning applications understand the world through vectors. Pinecone, a specialized cloud database for vectors, has secured significant investment from the people who brought Snowflake to ...

Machine learning is a way of helping computers understand the meaning of what we say or type. And vector search is a way for those computers to search through everything they know, based on ...

The group has now published an updated image (above) depicting the M87 black hole in greater detail. PRIMO is based on dictionary learning, a field of machine learning that generates rules based ...