Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study We analyzed 21,364 pathology reports ...
On February 28, the day that bombs started falling on the Islamic Republic, a man’s voice began broadcasting in Farsi on a shortwave-radio frequency. He announced himself—“Tavajjoh! Tavajjoh!” ...
This project implements an end-to-end deep learning pipeline for automated heartbeat classification using the MIT-BIH Arrhythmia Dataset. The system performs ECG signal preprocessing, heartbeat ...
Vibe coding security company Backslash Security Inc. revealed today that it has raised $19 million in new funding to expand its research and development talent and operations, deepen platform ...
In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...
Abstract: This study investigates the use of convolutional neural networks (CNNs) for real-time detection of cognitive load from electrocardiographic (ECG) signals. ECG recordings from the WESAD and ...
Abstract: Electrocardiogram (ECG) is a critical non-invasive diagnostic tool for monitoring clinical cardiac conditions. Most research on ECG classification based on deep learning has made significant ...
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An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
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