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this post was submitted on 29 Sep 2023
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Gaming
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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.
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?
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.
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..
Yes, similar to Raytracing which still needs a traditional pipeline, with AI you will have "enhanced" (Neural Nets) and "basic" (if statements).