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When evidence can be deepfaked, how do courts decide what’s real?
AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
Abstract: Non-line-of-sight (NLOS) identification is a major challenge for reliable WiFi-based sensing. Existing NLOS identification methods commonly encounter limited statistical features, rely on ...
@IvanNardi As per our initial discussion: Is your feature request related to a problem? Please describe. Detecting malware and covert communications within encrypted traffic, especially when ...
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