Game engines drowning in physics calculations? 🎮

Deep surrogate modeling has entered the chat.

Train an AI model on thousands of game simulations - inputs like object positions, player actions, environmental conditions, and their corresponding outputs.

Once trained, this neural network predicts game behavior without running full simulations, essentially learning how the game engine itself works and creating shortcuts.

The result? Same realistic physics, dramatically faster performance.

It's like having an #AI assistant that already knows what's going to happen, skipping the heavy math while keeping the gameplay smooth.

This computational efficiency is what $RENDER brings to distributed rendering - applied to gaming.