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Global threat of arsenic in groundwater
Using Deep Learning to Predict Fracture Patterns in Crystalline Solids
Fermionic neural-network states for ab-initio electronic structure
Should Data Scientists Model COVID19 and other Biological Events
Machine-learning tool could help develop tougher materials
Study finds stronger links between automation and inequality
Drawing early-bird tickets: Towards more efficient training of deep networks
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study
Fermionic neural-network states for ab-initio electronic structure
Robots help some firms, even while workers across industries struggle