We’ve been developing machine learning-based cybersecurity systems for many years and began developing automation for analysis in our labs in 2005. These early automation projects have since evolved into full-blown machine-learning frameworks. Since then, we’ve been waiting for our enemies to make the same move, and after 18 years, the

Machine learning (ML) and Artificial Intelligence (AI) have been receiving a lot of public interest in recent years, with both terms being practically common in the IT language. Despite their similarities, there are some important differences between ML and AI that are frequently neglected.  Thus we will cover the key

Researchers at IBM Research Zürich and ETH Zürich have recently created a new architecture that combines two of the most renowned artificial intelligence approaches, namely deep neural networks and vector-symbolic models. Their architecture, presented in Nature Machine Intelligence, could overcome the limitations of both these approaches, solving progressive matrices and other

Maybe you’re not ready to let AI write your code, but it’s quite useful for testing and analyzing code. AI-driven software development is no longer a futuristic dream. With GitHub Copilot, more than 1.2 million developers already rely on artificial intelligence to generate code on their behalf, saving them time

Machine Learning Vs Deep Learning: A Beginner’s Overview of the Two Dominant Approaches to Artificial Intelligence Introduction As technology continues to evolve, artificial intelligence (AI) has become increasingly prominent in our daily lives. Within the field of AI, machine learning and deep learning have emerged as two popular subsets. While