Strategic IT advisor and AI-focused editorial leader with deep experience shaping digital strategy, governance, and technology transformation across federal and enterprise environments. Skilled at translating complex IM/IT, cybersecurity, and cloud modernization initiatives into clear, compelling narratives that drive engagement, alignment, and informed decision‑making. As Editor/Administrator for AI Quantum Intelligence, I combine executive‑level insight with hands‑on content development, ensuring rigorous accuracy, strong editorial standards, and a forward‑looking perspective on AI, automation, and emerging technologies.
An end-to-end computer vision project using LBPH, Tkinter, and classical techniq...
Reverse-Engineering LanguageTool to run with local GEC modelsContinue reading on...
A complete record of development, architecture, every human match, and what it a...
How we turned recurring delivery failures into a scalable contract intelligence ...
In our previous explorations of probability, we equipped ourselves with the tool...
Machine Learning (ML) is a key part of modern Artificial Intelligence, enabling ...
A deep dive in how neural pattern recognition meets symbolic reasoning — and why...
A contrarian analysis of the false divide between AI safety and capability. This...
McKinsey hacked in 2 hours. 5 situations where AI agents will fail. Production p...
Yes, OpenAI and Google degrade their models. OpenAI admitted silent updates afte...
We benchmarked GPT-5.4, Gemini 3.1 Pro, Claude Opus, Sonnet, and 12 others on 3 ...
AI targeting systems executed 900 strikes in 12 hours, a pace that previously to...
Processing 10,000 documents daily through GPT or Claude costs $50K annually. Fin...
Understanding the behavior of complex machine learning systems, particularly Lar...
This post is based on our NeurIPS 2025 paper “Information-driven design of imagi...
