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 ...
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 study of 26,000 students found AI boosted homework scores while eroding exam performance. The AI trap responsible may be at ...
Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
A researcher at Kyushu University and his collaborators have shown that continuous parameters in quantum gravity may not be ...
Abstract: Blind deconvolution is an inverse problem when both the input signal and the convolution kernel are unknown. We propose a convex algorithm based on $\ell _1$-minimization to solve the blind ...
2024/09/25 Update：The code is now open, welcome to ask questions in the issue, we will try our best to solve errors and doubts 2024/09/26 Update: Pre-trained ...
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