Computer Sciences

ColorUNet: A new deep CNN classification approach to colorization

A team of researchers at Stanford University has recently developed a CNN classification method to colorize grayscale images. The tool they devised, called ColorUNet, draws inspiration from U-Net, a fully convolutional network ...

Computer Sciences

Finding people in video based on height, cloth color, gender

A special search approach lets you find people in surveillance video just based on their description. The RT headline read, "AI algorithm can find you in CCTV footage without using face recognition." But how? Height, gender, ...

Automotive

Machine learning to optimize traffic and reduce pollution

Applying artificial intelligence to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality predictions may sound like the stuff of science fiction, but researchers at the Department of Energy's ...

Computer Sciences

A new machine learning strategy that could enhance computer vision

Researchers from the Universitat Autonoma de Barcelona, Carnegie Mellon University and International Institute of Information Technology, Hyderabad, India, have developed a technique that could allow deep learning algorithms ...

Computer Sciences

Using deep learning to get computers to recognize beautiful places

(TechXplore)—A trio of researchers with the University of Warwick in the U.K. has used a deep learning algorithm to help a computer system better understand what constitutes a beautiful place. In their paper published in ...

Computer Sciences

Using deep learning to read images being processed in the brain

(Tech Xplore)—A team of researchers from several institutions in China has applied deep learning by a computer to the problem of reading visual imagery in the brain and then reproduced it in a 2-D format. A paper describing ...

Computer Sciences

You may well ask. Who, not what, is talking?

(Tech Xplore)—This is for real. Human speech synthesis has reached a new high. Thanks to DeepMind, there is every indication that machines are getting quite good at sounding like humans.

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