Training a computer vision machine learning model entails three process steps (see figure 1). Fig. 1: Computer vision machine learning training steps. Source A. Meixner/Semiconductor Engineering. The ...

Image classification made enormous strides in the 2010s thanks to the development of ImageNet, a data set containing millions of images hand sorted into thousands of categories.

Pinecone Systems Inc. is emerging from stealth mode today armed with $10 million in seed funding and a serverless vector database that it says can make machine learning queries much faster and more ac ...

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.

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

So instead of telling the machine, ‘This image is the digit 3,’ we say, ‘This image is 60% the digit 3, 30% the digit 8, and 10% the digit 0.’” The limits of LO-shot learning ...

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 ...