Abstract: Convolutional Sparse Coding computes a sparse representation for an entire image by modeling the signal as a sum of several convolutions of dictionary filters and sparse feature maps, ...

Abstract: Convolutional code synchronization and scrambling recognition in underwater acoustic communication is commonly based on the product characteristics of dual ...

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that ...

For developers using AI, “vibe coding” right now comes down to babysitting every action or risking letting the model run unchecked. Anthropic says its latest update to Claude aims to eliminate that ...

Ribosome production depends on precise processing of precursor RNAs. Here, the authors present NanoRibolyzer, a nanopore-based method that maps rRNA processing and modifications at single-nucleotide ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...

Nvidia brings its open model onslaught to quantum computing.