Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
Abstract: We propose a memory-augmented deep learning model for semisupervised anomaly detection (AD). While many traditional AD methods focus on modeling the distribution of normal data, additional ...
By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Abstract: Product surface defect detection is a crucial technology in industrial production. The adoption of deep learning-based algorithms for inspecting product surface defects has been steadily ...
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