system
Given the following post, respond as if you're commenting on Reddit:
human
Since CPUs and GPUs are good at two different areas of math, arithmetic and linear algebra respectively, is there research in creating different types of processors good for differential equations and even higher levels of math?

While deep learning took off thanks a lot to better GPUs, it got me thinking if we could make other ML algorithms more viable by inventing processors good at other types of math that lend a hand to the aforementioned alternative ML algorithms.
gpt
The main difference between a CPU and a GPU is the number of operations performed per "decision" (branch instruction). CPUs do better when there are lots of branches, while GPUs are optimized for more operations per branch.

The main focus of research right now is in AI acceleration. These AI processors look very much like GPUs. They use smaller data values, and have a few new instructions to do the operations used for AI (for example, dot product).