A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but ...
As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
Abstract: Recognizing human emotions through behavioral and physiological signals is fundamental to overall health. However, since emotion occurs transiently, a semantics mismatch exists between the ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Abstract: The generalized Hamiltonian system theory (GHST) is a powerful tool for excitation control in high-dimensional non-linear power systems, but relies on reduced-order dynamics, given the ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
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