Compared to traditional methods, it does not require any knowledge of the mathematical model of the nonlinear system, use of complex differential algebra, or other additional transformations. The ...

The optimal threshold model of stochastic excitation intensity for linearizing the nonlinear stochastic dynamic model is proposed to obtain the corresponding linearization threshold condition. The ...

Here, we apply weakly nonlinear analysis to predict the post-critical buffeting flow as an extension of the global stability theory, focused on the oscillatory mode of a two-dimensional airfoil. The ...

Large behavior models (LBMs) are emerging as crucial for combining generative AI LLMs with ... [+] behavioral aspects that make AI robots that can walk and talk. In today’s column, I closely ...

Today’s best AI models, like OpenAI’s ChatGPT and Anthropic’s Claude, come with conditions: their creators control the terms on which they are accessed to prevent them being used in harmful ...

Open-source generative models are valuable for developers, researchers, and organizations wanting to leverage cutting-edge AI technology without incurring high licensing fees or restrictive ...

That’s why many financial advisors offer their clients model portfolios, which are like investing recipes designed by professional wealth managers. Advisors can tweak the models based on a ...

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

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