Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...

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 ...

Abstract: UAV aerial images of insulators have problems such as complex backgrounds, small targets, and obscured targets, resulting in low detection accuracy of insulator targets. In order to solve ...

Recent theoretical and empirical work on predictive processing and brain plasticity may help explain both the onset of and ...

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 ...

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

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...

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