The idea is that graph networks are bigger than any one machine-learning approach. Graphs bring an ability to generalize about structure that the individual neural nets don't have.

Reinforcement learning is a subset of machine learning. ... RNN is a type of neural network that has “memories.” When combined with RL, RNN offers agents the ability to memorize things.

Azure Machine Learning is also previewing cloud-based reinforcement learning offerings for data scientists and machine learning professionals. “We’ve come a long way in the last two years when we had ...

System 2 deep learning is still in its early stages, but if it becomes a reality, it can solve some of the key problems of neural networks, including out-of-distribution generalization, causal ...