As high-NA EUV approaches, mask makers need new metrics, model-based checks, and curvilinear-native data flows to keep turn ...
11h
Microscopic noise can fool multiple cancer pathology models, exposing a major clinical safety gap
The integration of AI into digital pathology through general-purpose foundation models promises to significantly enhance ...
Yet an AI detector that is mostly reliable might in some ways be more dangerous than a broken one. While Pangram is accumulating the power to end reputations and careers, the tool does make mistakes, ...
Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning ...
The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
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