A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The finite element method is a powerful numerical technique that is used in all major engineering industries - in this video we'll explore how it works. We'll look at why it's useful to split the body ...

Electromagnetic (EM) Logging While Drilling (LWD) plays an increasingly significant role in oil and gas exploration and development. Fast and accurate simulation of EM LWD is essential for optimizing ...

ABSTRACT: Fractional-order time-delay differential equations can describe many complex physical phenomena with memory or delay effects, which are widely used in the fields of cell biology, control ...

The research findings have demonstrated that finite difference methods offer a powerful tool for approximating option prices and hedging parameters, especially in cases where closed-form solutions are ...

Abstract: A novel approach for the introduction of tightly focused Gaussian beams in finite-difference time-domain (FDTD) utilizing a seventh-order correction formula is proposed. The correction is ...

Abstract: This letter proposes a novel parallelized three-dimensional finite-difference time-domain (FDTD) method for solving Maxwell's equations in the time domain. Our approach leverages efficient ...

Artificial Intelligence (AI) has been a buzzword across sectors for the last decade, leading to significant advancements in technology and operational efficiencies. However, as we delve deeper into ...