Deep learning systems are often “trained” to perform these tasks by being presented with many examples of pictures, objects or scenarios that humans have already labeled “correct” or “incorrect.” By ...

Combining graphs and machine learning has been getting a lot of attention lately, especially since the work published by researchers from DeepMind, Google Brain, MIT, and the University of Edinburgh.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Vectors are how machine learning models understand the world. Where people see images, for example, machine learning models see image representations, in the form of vectors.

This is a problem if we want AIs to be trustworthy. That’s why Diffbot takes a different approach. It is building an AI that reads every page on the entire public web, in multiple languages, and ...