Computer Sciences

Researchers in Japan are showing way to decode thoughts

Making news this month is a study by researchers the Advanced Telecommunications Research Institute International (ATR) and Kyoto University in Japan, having built a neural network that not only reads but re-creates what ...

Computer Sciences

DeepMind researchers develop neural arithmetic logic units (NALU)

The ability to represent and manipulate numerical quantities can be observed in many species, including insects, mammals and humans. This suggests that basic quantitative reasoning is an important component of intelligence, ...

Computer Sciences

A neural network that operates at the speed of light

A team of researchers at the University of California has developed a novel kind of neural network—one that uses light instead of electricity to arrive at results. In their paper published in the journal Science, the group ...

Computer Sciences

New framework improves performance of deep neural networks

North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed ...

Computer Sciences

Google DeepMind project taking neural networks to a new level

(Tech Xplore)—A team of researchers at Google's DeepMind Technologies has been working on a means to increase the capabilities of computers by combining aspects of data processing and artificial intelligence and have come ...

Computer Sciences

From a 2-D view comes a 3-D face model using deep neural networks

(Tech Xplore)—Whether it's for gaming, entertainment, or education purposes, you can expect to see researchers aiming for techniques to bring you high visual impact in the virtual space, now that we are becoming increasingly ...

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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