Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect ...

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

Digital assistants, like Siri, Cortana, and Alexa, are some of the most common examples of deep learning. They use NLP to respond to questions and adapt to user habits.

In supervised learning, the most prevalent, the data is labeled to tell the machine exactly what patterns it should look for. Think of it as something like a sniffer dog that will hunt down ...

They’ve also done some morally questionable things, like create deep fakes—videos manipulated with deep learning. And because the data algorithms that machines use are written by fallible ...

As machine-learning algorithms grow more sophisticated, artificial intelligence seems poised to revolutionize the practice of science itself. In part, this will come from the software enabling ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

It would not only recognize what an image of a brain or a heart looks like, ... Nervana, meanwhile, runs deep- learning algorithms in the cloud and essentially offers deep learning as a service.

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Deep learning finally allows machines to tackle problems of similar complexity to those humans can solve, and has been responsible for impressive AI achievements in recent years.