Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...
The Conservancy of Southwest Florida made a Facebook post showing a wildlife wearing a Santa hat with Burmese python on his ...
Abstract: The range-spread target detection problem typically faces uncertainty in the number and locations of target scattering centers (TSCs), which severely limits the performance of traditional ...
Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
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