A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...
For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
With 120 and 125 teraFLOPS of BF16 grunt respectively, the Spark roughly matches AMD's Radeon Pro W7900, while achieving a ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...
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