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.
Flat tires happen so often, they're practically an inevitability for the millions of American drivers out there on the road. If you break down the math on the 220 million flats reported a year on ...
ABSTRACT: This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work ...
Abstract: This paper presents a finite difference method for the design of gradient coil in MRI. In this method, a linear matrix equation is formulated using a finite-difference approximation of the ...
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 ...
ABSTRACT: Beam is one of the common structures in engineering, with the development of technology, homogeneous beams no longer meet the needs of engineering structural design, for this reason, people ...
Abstract: The unconditionally stable (US) Chebyshev (CS) finite-difference time-domain (FDTD) method is extended for solving the problems of long-time simulation or harmonic resonance using a ...
Is it possible to disable automatic differentiation and use finite difference for the calculation of period orbits and normal forms? I am just starting with Julia and BifurcationKit and as a first ...
The STAR and PARADE methods of answering behavioral interview questions are both popular. They can help when you're asked about a time you faced a challenge or made a mistake at work, for example.
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