On that note, here is the TPU3 patent in its full glory. And while we are at it, an interesting look at how Facebook has re-architected the convolutional neural network as we know it. But of particular interest now is a new patent application from researchers at IBM's Almaden lab, which shows expanded efforts in making the company's True North neuromorphic chips more suitable for deep learning as well as more scalable overall. We have been steadily following the path neuromorphic architectures have been taking with the rise of new deep learning training and inference architectures, but until more recently, IBM and others, including Intel's Loihi, have seemed more rooted in research than reality. The full patent application, which appeared this week, also shows some of the first images to date of the structure and connection networks of the latest generation True North devices.