The evolution of AI within the cybersecurity landscape has led to the discovery and mitigation of new cyber-events and attack vectors. The result is a rush by organisations to build more automated and intelligent security defences using techniques like Machine Learning, Deep Learning and Natural Language Processing. In this article, Lori

THE UNPRECIDENTED popularity of ChatGPT has turbocharged the artificial intelligence (AI) hype machine. We are being bombarded daily by news articles announcing AI as humankind’s greatest invention. AI is “qualitatively different”, “transformational”, “revolutionary” and “will change everything”, they say. OpenAI, the company behind ChatGPT, announced a major upgrade of the technology behind ChatGPT

In today’s digital world, the need for secure authentication systems has become paramount. With the increasing frequency and sophistication of cyber attacks, traditional methods of authentication, such as passwords and PINs, are no longer sufficient to protect sensitive information. This is where artificial intelligence (AI) is playing a significant role in building more

Today, deep learning is the talk of the town. There is no shortage of media coverage, papers, books, and events on deep learning. Yet deep learning is not new. Its roots go back almost to the early days of artificial intelligence and computing. While the field received the cold shoulder

The top 10 deep learning algorithms to know in 2023: driving progress in the field of Artificial Intelligence Intro: Deep Learning is a Machine learning technique that employs neural networks to perform complex computations on massive amounts of data. It gained popularity mainly in scientific computing and its algorithm are widely