In a new study published in the Proceedings of the National Academy of Sciences, authors Gabriel Gellner and Kevin McCann from the University of Guelph and SFI External Professor Alan Hastings (UC ...
We consider the problem of testing parametric assumptions in an inverse regression model with a convolution-type operator. An L₂ -type goodness-of-fit test is proposed which compares the distance ...
Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and ...
Modern Engineering Marvels on MSN
AI inverse design boosts hydraulic pump efficiency by 32%
Can AI outperform decades of human expertise in mechanical design? Well, the researchers from Pusan National University gave a convincing affirmative answer by applying cGANs to the inverse design of ...
A Wiener process with drift is presented as a model of employee job attachment. The model implies a defective inverse Gaussian distribution form for employee service times. The inverse Gaussian form ...
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