this post was submitted on 29 Sep 2023
89 points (100.0% liked)

Gaming

30618 readers
90 users here now

From video gaming to card games and stuff in between, if it's gaming you can probably discuss it here!

Please Note: Gaming memes are permitted to be posted on Meme Mondays, but will otherwise be removed in an effort to allow other discussions to take place.

See also Gaming's sister community Tabletop Gaming.


This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 3 points 1 year ago (1 children)

it’s not the game that does it, it’s literally the graphic cards that does it The game is just software. It will execute on the GPU and CPU. DLSS (proprietary) and XeSS (OSS) are both libraries to run the AI bits of the cards for upscaling, because they weren't really being used for anything. Gamedevs have the skills to use them just like regular AI devs do.

By AI here I mean what is traditionally meant by "game AI", pathfinding, decisionmaking, co-ordination, etc. There is a counterstrike bot which uses neural nets (CPU), and it's been around for decades now. It is trained like normal bots are trained. You can train an AI in a game and then have the AI as NPCs, enemies, etc.

We should use the AI cores to do AI.

[–] [email protected] 1 points 1 year ago (1 children)

You could imagine training one AI for each game AI problem like pathfinding but what is see the benefit over just using classical algorithms?

Can DLSS and XeSS be used for something else than upscaling?

[–] [email protected] 2 points 1 year ago (1 children)

what is the benefit over just using classical algorithms

Utilisation. A CPU isn't really built for deep AI code, so it can't really do realistic AI given the frame budget of doing other things. This is famously why games have bad AI. Training AI via AI algorithms could make the NPCs more realistic or smarter, and you could do this within reasonable frame budgets.

[–] [email protected] 2 points 1 year ago (1 children)

I see. You want to offload AI-specific computations to the Nvidia AI cores. Not a bad idea, although it does mean that hardware that do not have them will have more CPU load so perhaps the AI will have to be tuned down based on the hardware they run on..

[–] [email protected] 2 points 1 year ago

so perhaps the AI will have to be tuned down based on the hardware they run on…

Yes, similar to Raytracing which still needs a traditional pipeline, with AI you will have "enhanced" (Neural Nets) and "basic" (if statements).