Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Opinion
UC Berkeley School of InformationOpinion

The American People's Research: Data and Analysis

P rabhakar, Arati. 2026. "The American People's Research." University of California, Berkeley.
IEEE

“Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress

Abstract: Following the invention of the telegraph, electronic computer, and remote sensing, “big data” is bringing another revolution to weather prediction. As sensor and computer technologies ...
IEEE

Vulnerability Detection Based on Enhanced Graph Representation Learning

Abstract: The detection of program vulnerabilities remains a challenging task in software security. The existing vulnerability detection methods rarely consider the multidimensional feature space ...
Council of Europe

Global scale - Table 1 (CEFR 3.3): Common Reference levels

It is desirable that the common reference points are presented in different ways for different purposes. For some purposes it will however be appropriate to summarise the set of proposed Common ...
GitHub

A curated list of Rust code and resources.

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GitHub

ridpath/SCADA-OT-CheatSheet-Advanced-ICS-Hacking-Playbook

All-in-one ICS/SCADA hacking, red teaming, malware analysis, detection, and lab architecture cheat sheet - ridpath/SCADA-OT-CheatSheet-Advanced-ICS-Hacking-Playbook ...