[RaftPeople]

> No, there is no practical way to model anything non-trivial - especially not ML - with analog hardware of any kind.

Are you aware that multiple companies (IBM, Intel, others) have prototype neuromorphic chips that use analog units to process incoming signals and apply the activation function?

IBM's NorthPole chip has been provided to the DoD for testing, and IBM's published results look pretty promising (faster and less energy for NN workloads compared to Nvidia GPU).

Intel's Loihi 2 chip has been provided to Sandia National laboratories for testing with presumably similar performance benefits as IBM's.

There are many other's with neuromorphic chips in process.

My opinion is that AI workloads will shift to neuromorphic chips as fast as the technology can mature. The only question is which company to buy stock in, not sure who will win.

EDIT: The chips I listed above are NOT analog, they are digital but with alternate architecture to reduce memory access. I've read about IBM's test chips that were analog and assumed these "neuromorphic" chips were analog.