Quantum computing education is advancing rapidly, with books now catering to beginners, developers, researchers, and business leaders. This curated selection highlights essential titles that explain ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

QuantumDrugAI is a hybrid quantum–classical deep learning framework designed for molecular property prediction and molecule optimization in AI-driven drug discovery applications. The framework ...

It was mid-October, peak leaf-peeping season in Hanover, New Hampshire, and Chad Markey was on a rare break between clinical rotations during his last year of medical school. He should have been ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Abstract: Microgrid stability is critical with the increasing integration of renewable energy sources. This study investigates Linear Quadratic Regulator (LQR) and Integrator-Augmented LQR (ILQR) ...

Abstract: Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is a ...

The computing world stands at a historic inflection point. Compute demand for frontier AI is expected to grow 1,000 times over the next four to five years. Classical compute is hitting thermal, energy ...

Optimiz-rs provides blazingly fast, production-ready implementations of advanced optimization and statistical inference algorithms. Built with Rust for maximum performance and exposed to Python ...