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

After nearly two years working in synthetic research, I’ve watched the conversation around AI-generated consumer intelligence ...

When NASA's Cyclone Global Navigation Satellite System, or CYGNSS, launched into orbit in 2016, none of the University of ...

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 ...

Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Kong_Efficient_Frequency_Domain-Based_Transformers_for_High-Quality_Image_Deblurring_CVPR_2023_paper.pdf ...

Abstract: In this paper, we propose a novel graph signal processing convolution recurrent network (GSP CRN) for signal enhancement against high suppressive interference (HSI) in wireless ...

You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...

Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...

The team over at Waves must be feeling particularly generous this week, as the software developer announces that it's releasing a bundle of seven free plugins that features a convolution reverb, FM ...