BIOENGINEER

Explainable AI yields a five-parameter formula for nonlinear concrete creep

Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit ...
BIOENGINEER

Explainable Volterra Networks Bring Transparent Nonlinear Dynamics to Time Series Forecasting

A new neural architecture converts the classical Volterra series into learnable coefficient tensors, recovering known chaotic dynamics, matching transformer physics, and rivaling black-box forecasters ...
energiesmedia

Clouds and changing seasons make solar power difficult to forecast, but machine learning is helping grids plan ahead

Singla, P., Duhan, M. & Saroha, S. A comprehensive review and analysis of solar forecasting techniques. Front. Energy ...
quantumzeitgeist

Researchers Define Rules to Shield Qubits from Noise

Until now, techniques to shield fragile quantum information relied on simplified two-level building blocks. This work extends ...
xenospectrum

Schrödinger's Unpublished Manuscript Shows Quantum Probability Doesn't Rule Out Determinism

An unpublished 1940s manuscript from Erwin Schrödinger's archive at the University of Vienna has been analyzed. Using a ...