Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...
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Neural data at risk – is the US ready to act?
Brain-computer interface (BCI) technologies are advancing rapidly, and – as with other innovations like artificial intelligence (AI) – regulation often lags, leaving the world to ‘play catch-up.’ In ...
The TEGNet emulator accelerates thermoelectric generator design, achieving 99% accuracy while cutting computation time to a ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Anker's THUS chips embeds a processors on memory chips to reduce the energy consumption. Apple has done something simililar ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the 'Company'), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...
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