Key points Nallawilli Bunjil is an Indigenous-led technology company using drones and data modelling to support environmental ...

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.

Abstract: Electronic Warfare (EW) receivers are passive systems that are designed to detect and identify active radar emitters in the environment. The radar pulses emitted by multiple sources are ...

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Computers promise to replace fallible human judgement with something more consistent, efficient and fair. But this isn’t always the case.

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...