An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
Abstract: This paper examines a novel Machine Learning (ML) Radio Frequency (RF) propagation model optimised for urban environments. In defense applications, RF propagation modelling is crucial for ...
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