Physicists and AI model Claude 'collaborate' to prove a 10-year-old jamming conjecture

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been resolved through an unusual collaboration: one involving two theoretical ...
Psychology Today

Anomaly Puzzles: How the Brain Detects the Unexpected

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...

A.I.’s First Big Math Breakthrough Is Not What It Seems

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Quantum gravity research links continuous parameters to local operators within the theory itself

A researcher at Kyushu University and his collaborators have shown that continuous parameters in quantum gravity may not be ...
GitHub

Efficient Frequency-Domain Image Deraining with Contrastive Regularization (ECCV2024)

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 ...
IEEE

Blind Recovery of Sparse Signals From Subsampled Convolution

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 ...
IEEE

Blind Deconvolution From Multiple Sparse Inputs

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 ...