Celebrating the Inaugural Salesforce Research Deep Learning Grant Winners

Two years ago, Salesforce unveiled Einstein, our AI platform to enable any company to deliver smarter, personalized and more predictive customer experiences. In just 2 years, we've released over 30 AI-powered features across our CRM, which combined power 4B+ predictions/day and we are looking to engage with the best

A way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs

LSTMs have become a basic building block for many deep NLP models. In recent years, many improvements and variations have been proposed for deep sequence models in general, and LSTMs in particular. We propose and analyze a series of augmentations and modifications to LSTM networks resulting in improved performance for

New Deep Learning Model Understands and Answers Questions

Illustration of DMN performing transitive inference.Today, we published new state of the art results on a variety of natural language processing (NLP) tasks. Our model, which we call the Dynamic Memory Network (DMN), combines two lines of recent work on memory and attention mechanisms in deep learning. Memory components