DISCOVERING INVARIANTS VIA MACHINE LEARNING

Discovering invariants via machine learning

Invariants and conservation laws convey critical information about the Pendant Lamp underlying dynamics of a system, yet it is generally infeasible to find them from large-scale data without any prior knowledge or human insight.We propose ConservNet to achieve this goal, a neural network that spontaneously discovers a conserved quantity from groupe

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Ultrasound for identification of pleural fluid in pneumonia

It can be difficult to definitively differentiate between pleural effusion and empyema versus infiltrate alone on plain chest radiographs of patients.However, this is a clinically important distinction that drives optimal therapy, as large fluid collections are unlikely to resolve with antibiotic therapy alone and usually require drainage.Case repo

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