This practice had to change when the European Union introduced Right to be Forgotten (RTBF)—first in 2014, as a standalone ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

Abstract: The complex dynamics of the baker's map and its variants in infinite-precision mathematical domains and quantum settings have been extensively studied over the past five decades. However, ...

Life doesn’t pause for a DSA challenge, and I’m not going to pretend otherwise. I got through fewer problems than planned — but I got through them properly, and I’m stopping here rather than grinding ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

Abstract: Over the past two decades, tools from network science have been leveraged to characterize the organization of both structural and functional brain networks. One such tool is hub node ...

I built a coding tutor that won't let me cheat my way through it. Here's the prompt.

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

Graph decomposition encompasses a suite of methods by which the edges of a graph are partitioned into subgraphs that satisfy prescribed properties or isomorphism classes. Central to this field are ...