This paper develops a Chebyshev Wavelet Operational Matrix Method (CWOMM) for solving a novel class of nonlinear mixed Volterra–Fredholm fractional integro-differential equations with state-dependent ...

MAI-Base-2 pretraining is complete: Microsoft AI reveals a 2.8-trillion-parameter Mixture-of-Experts model trained on 16,000 ...

IntroductionLast time, we introduced the Hohenberg–Kohn theorem, which is the starting point of Density Functional Theory ...

Introduction: Things I couldn't say in the videoIn the video '[As of 2026] How many digits is π?', I traced the records from ...

Mathematicians in India have borrowed a century-old family of polynomials to solve some of the most stubborn equations in ...

Physics-informed neural networks (PINNs) often struggle to solve stiff partial differential equations (PDEs) with moving boundaries, such as convection-dominated droplet drying with shrinking domains ...

The future of aerodynamics is changing at a faster rate than ever. Ahead of the RAeS Aerodynamics Conference, RAeS President ...

LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...

Researchers have developed ProD, a visualizable filter feature selection method that ranks variables by measuring the ...

New circuits leverage large language models to reduce qubit counts for quantum calculations, potentially simplifying quantum ...

In an appearance on the Silicon Valley 101 podcast, Dyna Robotics co-founder Jason Ma revealed that his company's first-generation VLA model ...

Anthropic says its Claude Mythos 5 AI model has discovered more efficient ways to design quantum circuits, improving on ...