Mr. Sutherns started the company in 2018, but recent advancements in machine learning, cheaper computing power and data storage have made the business far more feasible.

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

According to a new study by Harvard researchers, the basal ganglia—the so-called “learning machine” of the brain—speaks in two different codes: one for recently-acquired ...

Barracuda threat analysts have uncovered two innovative techniques being used by cyber attackers to help malicious QR codes evade detection in phishing attacks. The techniques, detailed in a new ...

In this two-part series, we provide an overview of machine learning (ML) and the current audit considerations, which focuses on compliance risk associated with ML.

This white paper guides IT auditors in assessing ML compliance risks and offers actionable steps to enforce compliance across the ML lifecycle.

A.I. is fueling a “poverty of imagination.” Here’s how we can fix it.