If you can get past the coining of yet another new word to talk about neural network designs, think about this: modeling the actual synapse can be a way to improve digital systems. The use of advanced techniques, such as connectomics and electron microscopy, to study neural tissue at a microscopic level. MIT Professor Nir Shavit highlights the process of embedding animal brains in resin, slicing them into thousands of sections, and using electron microscopy to visualize neural connections. These detailed images are then processed with artificial intelligence to identify and study the connectivity between neurons. Shavit emphasizes the potential for AI to accelerate this research and mentions the concept of "smart electron microscopy" for faster and more accurate analysis. He envisions widespread adoption of these technologies in labs worldwide, not only for biology but also for material science and circuit error detection.