Machine learning is just gradient descent through a subset of algorithm-space
Machine learning is just gradient descent through a subset of algorithm-space
There’s a former apple designer on the team I think, which they’ve been leaning into hard to get the hype train rolling.
That’s at least somebody’s idea of a good time…
Functional bros rise up!
I guess the argument would be that software fixes need to be implemented for each ROM separately. Which also involves the pain of decompiling. Yes FPGAs are probably a pain, but they potentially offer perfect emulation of every game.
One thing I’m not sure about is how portable FPGA logic is. If I write a NES emulator in verilog for one FPGA, can that code be reused on a later model if, for example, my FPGA goes out of production?
It’s a bit repetitive, but it’s not too bad.
Green is my pepper… If you know what I mean… 😏