Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

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 ...

Why Solving Legal AI's Context Problem Is Harder Than You Think

Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...
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 ...