Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Overview: Poor data validation, leakage, and weak preprocessing pipelines cause most XGBoost and LightGBM model failures in production.Default hyperparameters, ...

From Kalshi and Polymarket to niche scientific platforms, traders are predicting the weather — and climate experts are ...

Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...