Month: January 2026

Computer Vision Data Sets Explainable AI Featured Posts Generative AI Time Series

Cybersecurity Use Case: AI Agent for Anomaly Detection – Part 2

In the first part of this series, here, I feature a click fraud case that we are working on, litigated by one of the largest law firms in the US.  The input data comes from an Excel repository, automatically processed by an AI agent part of our BondingAI enterprise solutions. It comes with insights generation […]

Read More
Deep Learning Explainable AI Featured Posts Generative AI Natural Language Processing Podcasts Python

30 Articles Shaping the Future of Enterprise AI in 2026

Over several decades, I unlearned everything that I learned in college classes, and built a new discipline from scratch, as much different from traditional AI than it is from standard machine learning, statistics and computer science. Outside academia with a focus on practical applications. Item #2 in the list below is the culmination of this […]

Read More
Experimental Math Featured Posts Python Statistical Science

Simple Normality Test with Application to Random Number Generation

Numbers such as π, e, log 2 or √2 have binary digits (bits) that look randomly distributed. They are very good candidates to generate randomness especially in cryptography. One way to assess their randomness is by proving that they are normal numbers. Such a proof has remained elusive for centuries. Here I focus on a […]

Read More
Books Deep Learning Explainable AI Featured Posts Natural Language Processing Python Synthetic Data

New Book: No-Blackbox, Secure, Efficient AI and LLM Solutions

Large language models and modern AI is often presented as technology that needs deep neural networks (DNNs) with billions of Blackbox parameters, expensive and time consuming training, along with GPU farms, yet prone to hallucinations. This book presents alternatives that rely on explainable AI, featuring new algorithms based on radically different technology with trustworthy, auditable, […]

Read More