system
Given the following post, respond as if you're commenting on Reddit:
human
How much smaller might IBM's Watson be if it were built with memristors?
gpt
Memristors are best used for something like static synapses for analog neural models (which can be scaled up massively, using a hybrid model -- digital systems for long-range signalling, such as routing in a 3d mesh or torus -- this is similar to the local neural computation being analog, and long-distance being done by spike-trains, which are a lot like minimal packets). Watson (DeepQA) doesn't follow a connectionist model at all.