Blog Posts Archives - Page 2 of 7

Why Federated Models In AI Leak Secrets

I was at a meeting last week discussing how AI models might be used to support archives for efficiency, effectiveness, […]

Of course until you are successfully attacked, doing nothing about security is a great approach. It saves money and time

Confidence intervals (CIs) are a fundamental concept in data science. In this informative guide, we’ll delve into the world of

Education is the cornerstone of progress, but for it to be truly impactful, it must be accessible and inclusive to

Creating an optimal model that strikes a balance between underfitting and overfitting requires careful consideration. To assess how well our

Dr. Fred Cohen / December 19, 2023

I very often see false choices about paths forward. One of the most common ones is the question about the

Did you know that ethical considerations in AI-powered education are becoming increasingly crucial? Or that ensuring data privacy is a

The Pearson correlation coefficient (denoted as “r”) is widely used in statistics to measure the strength and direction of linear

Dr. Fred Cohen / September 1, 2023

Many years ago, Gartner declared “Firewalls are Dead”, but some 20 years later (give or take) they are still reporting

How is an application program interface different from an other application interface? At a basic level, they are the same

Privilege escalation has always been a problem in computers, and after all these years, we still don’t seem to have

Standard deviation and standard error are two statistical measures that often get confused with each other. While both measures describe