Traditional SoD was built for a world that no longer exists. The new SoD must be dynamic, identity-anchored, machine-aware ...

The rise of so-called quantitative funds—mutual funds run by algorithms and computer models—has led investors to ask: Are machines better than humans at delivering consistently good investment returns ...

Your newest team member doesn’t need a desk, health benefits or coffee breaks. They work 24/7, learn new skills overnight and process vast amounts of information in seconds. As AI becomes more ...

We are not afraid of machines rising. We are afraid that we ourselves have begun to step aside. That fear has nothing to do ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

The rise of voice chat in online videogames has inevitably led to a growth in bad behavior between players—it is, after all, a lot easier to scream slurs and abuse at other people than it is to stop ...

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

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