Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At the advent of the modern AI era, when it was discovered that powerful ...

In this contributed article, editorial consultant Jelani Harper points out that those who triumph in coupling the connectionist approach of machine learning techniques with the symbolic reasoning ...

Unsupervised domain adaptation has provoked vast amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach have achieved sound performance for ...

We live in a time of unparalleled use of machine learning (ML), but it relies on one approach to training the models that are implemented in artificial neural networks (ANNs) — so named because ...

Cybercriminals continue to disrupt current defense mechanisms through new methods by exploiting vulnerabilities, especially in the overlapping areas of machine and human interactions. Cybersecurity ...

The ambiguity surrounding Artificial Intelligence is legion. The majority of enterprise proclamations of AI are simply applications of machine learning. Although this technology involves supervised ...

Four years ago, mathematician Vlad Voroninski saw an opportunity to remove some of the bottlenecks in the development of autonomous vehicle technology thanks to breakthroughs in deep learning. Now, ...

Machine learning is one of the cornerstones of artificial intelligence. If systems can’t learn, they can’t adapt or apply knowledge from one domain to another. And yet, machine learning is just a ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...