Consumer & Gadgets

Baby tech: Pampers to deliver a big diaper change

In some home soon, a new parent will enjoy a smartphone glance as the first-time mom reads messages like Claire's diaper is dry. Bottle 46 minutes ago. Asleep 1 hour 22 minutes.

Consumer & Gadgets

Mojo Vision shows off display technology for augmented reality

What meets the eye is important—but in the case of entering the realm of augmented reality, how it meets the eye is an issue. A California company is on that case. They have technology to let AR users keep in the flow eyes-up. ...

Machine Learning & AI

Researchers try to recreate human-like thinking in machines

Researchers at Oxford University have recently tried to recreate human thinking patterns in machines, using a language guided imagination (LGI) network. Their method, outlined in a paper pre-published on arXiv, could inform ...

Computer Sciences

DeepCrack: a new hierarchical CNN-based method for crack segmentation

Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, ...

Machine Learning & AI

A new algorithm for solving archaeological puzzles

A team of researchers at Technion and the University of Haifa have developed a new computer vision approach for solving archaeological puzzles. In their paper, pre-published on arXiv, they introduce a general algorithm that ...

Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

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 ...

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