PhysicsNature Communications
Learning stochastic dynamics and predicting emergent behavior using transformers
C. Casert, I. Tamblyn, et al.
This innovative research by Corneel Casert, Isaac Tamblyn, and Stephen Whitelam reveals how a transformer neural network, originally created for processing language, can master the complex dynamics of stochastic systems by simply observing a trajectory. Their groundbreaking work predicts unseen emergent behaviors, opening doors to understanding complex systems without traditional modeling techniques.
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