A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with current methods struggling to keep pace with the complexity and societal reach ...
While atmospheric turbulence is a familiar culprit of rough flights, the chaotic movement of turbulent flows remains an unsolved problem in physics. To gain insight into the system, a team of ...
Understanding and predicting health outcomes is crucial in the field of medicine, especially for chronic and progressive conditions such as Parkinson’s disease. As technology advances, the integration ...
Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...
Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...
Immune Checkpoint Blockade (ICB) has reshaped cancer care and can deliver durable remission in malignancies such as melanoma and non-small cell lung cancer.
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