I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

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Why agencies must look beyond ‘post-quantum crypto’ algorithms to secure their data As NIST rolls out advanced PQC standards to address the ‘Harvest now, decrypt later’ threat, a new report suggests ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China ...

This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University. Data ...

Rather, his role is to review how United’s data department could be improved and where it will sit in the sporting structure, which is still in flux following Ashworth’s exit.

The SOM algorithm, which incorporated both qualitative and quantitative data, produced the best model, resulting in the identification of three distinct domains. These findings underscore the ...

Encryption is essential for protecting data, with both symmetric and asymmetric methods offering unique advantages.