The punchline is that, if such a graph architecture existed and could be just as efficient at training as it was at inference, it could upset the whole apple cart. If there is any coveted prize at ...

Also: Google Brain, Microsoft plumb the mysteries of networks with AI The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to ...

Now, two physicists have shown that one form of deep learning works exactly like one of the most important and ubiquitous mathematical techniques in physics, a procedure for calculating the large ...

For example, cardiac catheter ablation procedures, which are used to treat arrythmias ... through photoacoustic imaging by leveraging machine learning. The researchers proposed using a deep ...