Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
IEEE

Koopman Operator Based Linear Model Predictive Control for Quadruped Trotting

Abstract: Online optimal control of quadruped robots would enable them to adapt to varying inputs and changing conditions in real time. A common way of achieving this is linear model predictive ...
GitHub

hands-on-introduction_to_deep_learning-2026.qmd

$$y = X\beta + \epsilon \qquad \text{where } \epsilon \sim N(0, \sigma)$$ We'll simulate data, solve it analytically, then learn to solve it with gradient descent ...
IEEE

Short Term Wind Power Prediction Base on STL Decomposition and LSTM-Attention-Linear Model

Abstract: This paper introduces a method for short-term wind power prediction that utilizes neural networks trained on historical wind power data and numerical weather prediction data. The neural ...