As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Running both phases on the same silicon creates inefficiencies, which is why decoupling the two opens the door to new ...
Artificial intelligence is once again fueling a scorching tech stock rally, but the rising tide is notably not lifting all ...
For each of these 160 researchers, the Niels Bohr Library & Archives will forever be connected to them, in a footnote at ...
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Powering AI from space, at scale, with a passive tether design
Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically scale to meet the growing demand for AI computing while reducing the ...
Abstract: This study investigates the impact of the invariance of feature vectors for partial-to-partial point set registration under translation and rotation of input point sets, particularly in the ...
Abstract: Point cloud quality assessment (PCQA) is essential for numerous 3D vision applications. Existing no-reference (NR) approaches typically rely on either 3D geometry or 2D texture features ...
Ethereum mainnet retakes the lead in daily active addresses as long term ETH charts draw comparisons with gold’s historical ...
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