Abstract: Adversarial training is an effective approach to enhance the robustness of machine learning models via adding adversarial examples into the training phase. However, existing adversarial ...
Abstract: We present the first universal quantum compiler based on Generative Pre-trained Transformer (GPT) architecture that provides cross-framework optimization and translation capabilities for ...
Climate variability and extremes are associated with more prolonged conflict through food price spikes, food and water insecurity, loss of income and loss of livelihoods (high confidence) ...
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