By now, many people think they know what machine learning is: You “feed” computers a bunch of “training data” so that they “learn” to do things without our having to specify exactly how. But computers ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world.

Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.

Deep learning, neural networks, imitation games—what does any of this have to do with teaching computers to “learn”?

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Professor Todd Murphey showed how robots can purposefully collect data to learn about the surrounding environment, rather than passively collecting data as they go about other tasks.

Safety-critical machine-learning systems are usually trained on closed data sets that are curated and labelled by human workers—poisoned data would not go unnoticed there, says Alina Oprea, a ...