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

A vulnerability in Google's Gemini CLI allowed attackers to silently execute malicious commands and exfiltrate data from developers' computers using allowlisted programs.

For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software development. But as agentic AI grows more powerful and vibe-coding takes ...

The feature tree framework addresses this by improving the structure and interpretability of synthetic data, helping lay the foundation for more transparent and systematic code LLMs. EpiCoder’s ...

Generative AI has officially entered the infrastructure as code (IaC) trenches. What started as a bottom-up phenomenon — developers using ChatGPT and Copilot to avoid Googling Terraform syntax ...

However, instead of phenotypes, there is increasing interest in using genomic data for gene resource management. We used whole-genome resequencing and common-garden experiments to understand the ...

This paper presents FUNDED (Flow-sensitive vUl-Nerability coDE Detection), a novel learning framework for building vulnerability detection models. Funded leverages the advances in graph neural ...

Bptree is a lightweight single-header B+ tree implementation written in C. It can be thought of as an in-memory ordered map where keys are stored based on the ordering defined by some comparator ...

Google CEO says over 25% of new Google code is generated by AI We've always used tools to build new tools, and developers are using AI to continue that tradition.