IBM Just Achieved a Deep Learning Breakthrough

Today's artificial intelligence (AI) technologies are usually run using machine learning algorithms. These operate on what's called a neural network -- systems designed to mimic the human brain inner workings -- as part of what is called deep learning. Currently, most AI advances are largely due to deep learning, with developments like AlphaGo, the Go-playing AI created by Google's DeepMind. Now, IBM has announced that they have developed an AI that makes the entire machine learning process faster. Instead of running complex deep learning models on just a single server, the team, led by IBM Research's director of systems acceleration and memory Hillery Hunter, managed to efficiently scale up distributed deep learning (DDL) using multiple servers.