AI Doesn’t Have A Data Problem; It Has A Context Problem

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...
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 ...

Quantum gravity tests may mistake ordinary spacetime for superposition

Everything around us, from atoms and molecules to planets and galaxies, is governed by two extraordinarily successful ...

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

Deep Convolutional Neural Networks [Lecture Notes]

Abstract: Neural networks are a subset of the field of artificial intelligence (AI). The predominant types of neural networks used for multidimensional signal processing are deep convolutional neural ...
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 ...