We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Machine learning and deep learning are both parts of artificial intelligence, but they work in different ways — like a smart student versus a super-specialised ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

Let’s be honest—alert fatigue is real, and it’s relentless. Security teams are bombarded with thousands of notifications ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

University of Victoria (UVic) biologists have discovered that even closely related fish species make unique and distinctive ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Rahul Kasanagottu is an engineer at Google who pivoted to an AI role at the company after a 2.5 year upskilling journey.

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.