You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
have you heard of ikatago, this project/program enables much less powerful devices/computers to get the calculation results from a remote (running on a powerful workstation or a cloud platform) katago engine.
If this client can be intergrated into BadukAi, even weak android devices will get unconstrained. Of course only when someone has access to the computing power somewhere.
This sounds a lot of work though, like making BadukAi networkable and overcoming some barriers, lack of documentation for ikatago for example.
Would you take this in consideration?
The text was updated successfully, but these errors were encountered:
The purpose of BadukAI is to run the AI locally on the device, since that has many advantages (no server cost, no network connection needed, no permissions needed, always available).
For accessing results from a remote katago engine, there already exist a lot of possibilities
Hi aki65,
have you heard of ikatago, this project/program enables much less powerful devices/computers to get the calculation results from a remote (running on a powerful workstation or a cloud platform) katago engine.
https://github.com/kinfkong/ikatago-client
If this client can be intergrated into BadukAi, even weak android devices will get unconstrained. Of course only when someone has access to the computing power somewhere.
This sounds a lot of work though, like making BadukAi networkable and overcoming some barriers, lack of documentation for ikatago for example.
Would you take this in consideration?
The text was updated successfully, but these errors were encountered: