Machine learning & AI

New technique cuts AI training time by more than 60 percent

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial ...

Computer Sciences

A new approximate computing approach using CNNs

Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a ...

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, ...

Computer Sciences

Eyes as a portal to cardiovascular risk factors

Researchers from Google Research, Verily Life Sciences, and the Division of Cardiovascular Medicine, Stanford School of Medicine, are showing that the eyes have it in offering a portal to one's health status.

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