One of the biggest challenges of the 21st century is to make computers more similar to the human brain. We want them to speak, understand and solve problems — and now we want them to see and recognize ...

Deep learning neural networks, software programs that attempt to emulate the way the brain’s neocortex works, have led to striking improvements recently in speech and image recognition and even game ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Using algorithms partially modeled on the human brain, researchers from the Massachusetts Institute of Technology have enabled computers to predict the immediate future by examining a photograph. A ...

The new approach for deep learning stems from the Massachusetts Institute of Technology (MIT). Deep learning refers to the use of artificial neural networks which contain more than one hidden layer.

Deep neural networks can perform wonderful feats, thanks to their extremely large and complicated web of parameters. But their complexity is also their curse: The inner workings of neural networks are ...

Researchers from the School of Interactive Computing and the Institute for Robotics and Intelligent Machines came up with a new technique that teaches computers to “see” and understand what humans do ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the past couple of years, Google has been trying to improve more and ...

Speech and language are central to human intelligence, communication, and cognitive processes. Understanding natural language is often viewed as the greatest AI challenge—one that, if solved, could ...

At TED, in early 2018, the futurist and inventor Ray Kurzweil, currently a director of engineering at Google, announced his latest project, “Google Talk to Books,” which claimed to use natural ...

In June 2012, a network of 16,000 computers trained itself to recognize a cat by looking at 10 million images from YouTube videos. Today, the technique is used in everything from Google image searches ...