Andrej Karpathy's new open source 'autoresearch' lets you run hundreds of AI experiments a night — with revolutionary implications

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

SPY Is Now A Tech ETF: Building A Quantitatively Optimized 'Strong Buy' Alternative

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better diversification.
IEEE

Human-in-the-Loop Optimization for Terrain- and User-Adaptive Gait Phase Estimation in Phase-Portrait-Based Methods

Abstract: Gait phase (GP) estimation is a critical component in control of exoskeletons and prostheses, enabling seamless user interaction in various controllers. In recent years, methods based on ...
IEEE

Model Predictive Control Optimization Strategy for Integrated Energy Systems: A Two-stage Dual-loop Optimization Framework

Abstract: Integrated Energy Systems (IESs) are important vehicles for achieving energy conservation and emission reduction. However, operating an IES smoothly is difficult due to source–load ...