What symbolic reasoning is, and why it's key to reliable AI. As OpenAI has essentially just confessed, nobody knows how to solve this problem using current generative AI models.

In this paper, we present a MATLAB program for automatic symbolic simplification of analog circuits containing MOSFETs, using modified nodal analysis (MNA) and ant colony optimization (ACO). At first, ...

Statistics articles from across Nature Portfolio. Atom; RSS Feed; Definition. Statistics is the application of mathematical concepts to understanding and analysing large collections of data.

Creative telescoping is an algorithmic technique central to computer algebra, employed for deriving recurrence relations and differential equations that characterise definite sums and integrals ...

This comprehensive compendium presents the detailed theory, implementation and application of finite element analysis via heavily commented Matlab scripts. The book includes over 110 examples of the ...

More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Skip to content. ... Python or Matlab/Octave. ... math computer-algebra mathematics ...

Cardiovascular diseases are the first cause of death in developed countries. Using electrocardiographic (ECG), blood pressure (BP) and respiratory flow signals, we obtained parameters for classifying ...

More than 150 million people use GitHub to discover, fork, and contribute to over 420 ... data visualization and symbolic computation. javascript tex webgl machine-learning latex computer-algebra data ...

MATLAB Functions for Computer Vision - A collection of MATLAB functions including: Feature detection via Phase Congruency, Non-maxima suppression and hysteresis thresholding, Edge linking and line ...

Objectives To explore contextual factors that increase vulnerabilities to negative sexual and reproductive health (SRH) outcomes and possible differences in SRH-related behaviours and the needs of ...

Ab initio molecular dynamics (AIMD) has become one of the most popular and robust approaches for modeling complicated chemical, liquid, and material systems. However, the formidable computational cost ...