Computer Sciences

A new approach for software fault prediction using feature selection

Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. ...

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

Fairness needed in algorithmic decision-making, experts say

University of Toronto Ph.D. student David Madras says many of today's algorithms are good at making accurate predictions, but don't know how to handle uncertainty well. If a badly calibrated algorithm makes the wrong decision, ...

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