Frequently Asked Questions

What is Simulation Intelligence?

Simulation Intelligence (SI) is a paradigm to bring advances in AI, computing, and simulation together to enable the next generation of intelligent systems. Simulation Intelligence combines motifs from several different fields of research, including:

(1) Multi-physics and multi-scale modeling; (2) Surrogate modeling and emulation; (3) Simulation-based inference; (4) Causal modeling and inference; (5) Agent-based modeling; (6) Probabilistic programming; (7) Differentiable programming; (8) Open-ended optimization; (9) Machine programming.

• Lavin et al., 2021

Tesseracts are a key building block of Simulation Intelligence, enabling the composition of complex, multi-physics, and multi-scale models into a single, differentiable function.