I have many #research ideas and when the time comes, I have to choose 1-3 of them to work on.
One of these research ideas is in the #game_theory and #mathematics field. Four others are in #evolutionary_machine_learning field. And finally, two of them are hardware ideas rather than software ones. Not a gadget but trying to implement computational models using hardware.
In my childhood, I used to build electronics circuits. But I could not understand how the circuits work. Why this flasher with two transistors has such a behavior? And I think it was not my fault. I was in early school and I couldn't understand the books about circuits because the books weren't for someone like me.
So I stopped building circuits and from when I was 12-13 years old, I put my efforts on programming where I could create something which works and I know why and how does it work.
Now, I am 22(in a less than 3 months) and I know many computational models exist but just one of them has been implemented hardware-wise. So I am interested in hardware implementation of these computational models.
Nevertheless, I don't have expertise nor knowledge in electrical engineering. So I either can't have a good idea or if I have I don't know how to express it or build it.
That's the question I need its answer. Should I remove hardware research ideas out of my list? And choose only among other ideas?
#ask_fediverse #electric #electrical_engineering #machine_learning #genetic_programming #evolutionary_ml #hardware #hardware_building #computational_models #hardware_implementation #electronics #electronic #circuit #circuits
@farooqkz minor nitpicking: other types of computational hardware have been explored, in the past: https://en.wikipedia.org/wiki/Analog_computer, and i suppose current efforts to build "quantum computers" are at least a third very distinct class.
Yes. It is one of which I would like to explore further and perhaps use them in implementing #neural_networks
The electrical version, however.
The other thing, are #ternary_computers
