Abstract: Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors tailored to ...
A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...
From The Matrix to tangled wizard wars, these trilogies buried great ideas under lore, retcons, and endless explanations.
These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...
Hundreds of contractors working on a project for Meta pretended to be kids in order to see how other chatbots like Gemini and ...
El, there have been quite a few different characters who have taken up the mantle of Supergirl.
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
SPOD() is a Matlab implementation of the frequency domain form of proper orthogonal decomposition (POD, also known as principle component analysis or Karhunen-Loève decomposition) called spectral ...