PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...

My PCMag career began in 2013 as an intern. Now, I'm a senior writer, using the skills I acquired at Northwestern University to write about dating apps, meal kits, programming software, website ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. An easy-to-implement noise estimation method for tuning state estimators is proposed.

While there have been some notable successes with program verification systems, a the use of such systems is still perceived as a niche activity for the most critical and specialized projects. 1, 23, ...

Single-celled protozoa display remarkable animal-like behaviors without the aid of neurons. Mechanistically understanding how this behavior emerges from underlying physical and biochemical components ...

Our library allows automatic bound derivation and computation for general computational graphs, in a similar manner that gradients are obtained in modern deep learning frameworks -- users only define ...

We apply the framework of nonlinear optimal control to a biophysically realistic neural mass model, which consists of two mutually coupled populations of deterministic excitatory and inhibitory ...

In many scientific fields including neuroscience, climatology or physics, complex relationships can be described most parsimoniously by non-linear mechanics. Despite their relevance, many ...

Abstract: Parametrized machine learning models for inference often include non-linear and nonconvex constraints over the parameters and meta-parameters. Training these models to convergence is in ...

If your children have outgrown their Mattel toys, the company said they'll take them. On Monday, the company announced the launch of their new toy takeback program called Mattel Playback, which is ...