Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Interest in these AI networks, modeled after the human brain, is growing. Here’s what businesses need to know to power up tools and services. Jennifer Zaino is a New York-based freelance writer ...

Amazon, Google, Microsoft, Facebook—these companies and many others are vying to create the richest and easiest libraries for machine learning and deep learning. Competition is good! Our 2018 Bossie ...