Machine Learning is, put simply, getting computers to generalize from examples. And that's what I try to do: put things simply. My posts on Machine Learning (ML) consist primarily of beginner-focused introductions to common ML models or concepts, and I st... (more…)

Anodot, the company pioneering the autonomous monitoring space, has launched a public service including a machine learning driven analytics dashboard that monitors locally reported COVID-19 cases, and notifies users when a particular region’s numbers chan... (more…)

Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

The O’Reilly Security Podcast: Scaling machine learning for security, the evolving nature of security data, and how adversaries can use machine learning against us. (more…)

In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense than a house cat. (more…)