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Confidential GPUs for AI are the future of secure computing | TechCrunch
TechCrunch· 7 hours agoEfficiency and innovation are often touted as hallmark attributes of generative AI. The recent...
Shadows of quantum machine learning - Nature Communications
Nature· 2 days agoQuantum machine learning faces applicability challenges as quantum computers are needed for both training and evaluation of trained models. This study explores models that can be quantumly trained ...
A point cloud segmentation framework for image-based spatial transcriptomics - Communications...
Nature· 2 days agoComSeg is a cell segmentation algorithm for image-based spatial transcriptomics. ComSeg operates directly on single RNA positions, leveraging nuclei positions, and is applicable to complex tissues with arbitrary cell shapes.
Empowering deep neural quantum states through efficient optimization - Nature Physics
Nature· 7 days agoAn optimization algorithm reduces the cost of training large-scale neural quantum states. This leads to accurate computations of the ground states of frustrated magnets and provides evidence of gapless quantum-spin-liquid phases.
Flexible adaptation of task-positive brain networks predicts efficiency of evidence accumulation -...
Nature· 6 days agoAnalyses of fMRI data across two large samples show that people’s cognitive efficiency, as measured by a computational model, is strongly related to the degree to which brain ...