Image, trained entirely on Huawei chips, as Beijing moves to block Nvidia H200 imports in a push for AI self-reliance.
Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...
Buffered Autoregressive Models With Conditional Heteroscedasticity: An Application to Exchange Rates
This article introduces a new model called the buffered autoregressive model with generalized autoregressive conditional heteroscedasticity (BAR-GARCH). The proposed model, as an extension of the BAR ...
Artificial intelligence has reached a point where it can compose text that sounds so human that it dupes most people into thinking it was written by another person. These AI programs—based on what are ...
Polygonal meshes are widely used in computer graphics, robotics, and game development to represent virtual objects and scenes. Exisitng learning-based methods for 3D object generation have relied on ...
Most introductory time series analysis courses and texts designed for students in statistics, engineering, applied sciences, econometrics, and finance are sorely lacking when it comes to providing ...
Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses ...
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