Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...

In 2026, AI research is moving from simply scaling models toward probing their fundamental limits, with benchmarks like MLRegTest revealing gaps in logical generalization and causal reasoning.