Spatial co-location pattern mining is a sub-discipline of spatial data analysis that seeks to identify subsets of spatial features which frequently occur in close proximity. It aims to uncover the ...
Conventional crystals are materials in which atoms arrange themselves in repeating spatial patterns. Time crystals, on the other hand, are phases of matter characterized by repeating motions over time ...
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Novel embedding-driven AI for adaptable brain control
Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...
Researchers use AI "digital twins" to discover a new type of neuron in the visual cortex that perceives complex textures and object arrangements.
The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed ...
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Distinct spatial tumor–immune ecosystems predict lung cancer treatment response
Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.
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