Deep Learning and Machine Learning has made breakthroughs in recent years. There is tens of billions of dollars going into development of the new AI.

Rebooting AI: Deep learning, meet knowledge graphs Gary Marcus, a prominent figure in AI, is on a mission to instill a breath of fresh air to a discipline he sees as in danger of stagnating.

As Toon reminds The Next Platform, deep learning frameworks are capturing a knowledge model from data and the best way to represent those features and represents is via a computational graph. At their ...

Meiya Pico's patent focuses on classifying social text using Graph Convolutional Networks. GCN is a deep learning model ...

That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science features, it points towards the future of graph databases.

Intel last week announced that it would open source its nGraph Compiler, a neural network model compiler that supports multiple deep learning frameworks on the front-end, and compiles optimized ...

Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large amounts of text data. To ...

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs ...