Billion Scale Exhaustive Similarity Search

Nearist has recently benchmarked exhaustive (or “brute force”) k-NN search on a dataset of 1 billion image descriptors (the deep1b dataset). A single server containing Nearist’s Vector Search Accelerator (VSX) cards was able to find the 100 nearest neighbors to …

Word2Vec Tutorial — The Skip-Gram Model

This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual introductory and abstract insights about Word2Vec, and get into more of the details. Specifically here I’m diving into …