Technology, Science and Universe
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- Organizational Ethics Description: Organizational ethics in the context of artificial intelligence (AI) refers to the ethical principles that guide the behavior and(...) Read more
- Operational Accountability Description: Operational accountability in the context of artificial intelligence (AI) ethics refers to the obligation of individuals and(...) Read more
- Open Frameworks Description: Open Frameworks in the Edge Computing category refer to development structures that allow programmers to modify and use software(...) Read more
- Obligation to Inform Description: The 'Obligation to Inform' refers to the duty organizations have to communicate to stakeholders the ethical implications of their(...) Read more
- Open Research Description: Open research refers to a set of practices that promote the transparency and accessibility of scientific and academic findings.(...) Read more
- Organizational Responsibility Description: Organizational responsibility in the context of artificial intelligence (AI) ethics refers to the obligation that organizations(...) Read more
- Open governance Description: Open governance refers to governance models that are transparent and allow community participation in decision-making. This(...) Read more
- Outcomes Reporting Description: Outcomes Reporting in the context of artificial intelligence (AI) ethics refers to the practice of documenting and sharing the(...) Read more
- Open Ethics Description: Open Ethics in the context of artificial intelligence (AI) refers to an approach that promotes transparency and public engagement(...) Read more
- Operational Integrity Description: Operational integrity refers to the assurance that an organization's operational processes are functioning correctly and(...) Read more
- Output Tensor Description: The output tensor is the final result produced by a machine learning model after processing the input data. In the context of(...) Read more
- Optimization Function Description: An optimization function is a mathematical function that is minimized or maximized during the training of a model in the field of(...) Read more
- Output Shape Description: The output shape in TensorFlow refers to the dimensions of the tensor produced as a result of a layer or model in a neural network.(...) Read more
- Orthogonal Initialization Description: Orthogonal initialization is a weight initialization method in neural networks that aims to improve convergence during training.(...) Read more
- Optimization Hyperparameters Description: Hyperparameters of optimization are parameters that govern the training process of machine learning models, especially in the(...) Read more
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