Machine Learning (ML) has reached an inflection point – at least in terms of messaging. For my first article as part of the TIRIAS Research contributor group, I’ll take this space to level set on a ...

The predominant AI development method. In the 1980s, AI systems were programmed more like regular data processing applications (if-then-else rules). Today, AI systems use machine learning to "learn by ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

Machine learning, which is a part of artificial intelligence, has already snuck into our daily lives and changed the way in which we interact with technology and the world. From the recommendations on ...

The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers – harnessed to algorithms refined over the past decade – are driving an explosion ...

One complete pass in the training phase of an AI model. With each epoch, the model is further refined. Depending on the size of the model, there can be only one epoch or as many as a hundred or more.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Machine learning algorithms have gained fame for being able to ferret out ...