Those misclassifications, known as adversarial examples, have long been seen as a nagging weakness in machine-learning models.

With appropriate strategy and execution, machine-learning capabilities like the three examples described above have potential to make life easier for the modern-day advertiser.

How machine learning “sees” the world Before we get to how adversarial examples work, we must first understand how machine learning algorithms parse images and videos.

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

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

How Machine Learning Impacts Links & Link Building One of the easiest examples of an area machine learning can greatly increase Google’s capabilities is in links.

It works like most machine learning—examples inform rules that help predict and interpret a totally new request—but taps into a smarter data set and greater computing power to do what had ...

WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.