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

Recognizing the partially seen

When we open our eyes in the morning and take in that first scene of the day, we don't give much thought to the fact that our brain is processing the objects within our field of view with great efficiency and that it is compensating ...

Engineering

Feedback enhances brainwave control of a novel hand-exoskeleton

An extremely lightweight and portable hand exoskeleton may one day help the physically impaired with daily living. These are the hopes of EPFL scientist Luca Randazzo who is developing the exoskeleton with the Defitech Chair ...

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

Researchers explore decoding faces from neural activity

(Tech Xplore)—What can technology accomplish in reconstructing a face? Scientists have come up with surprising results. Yale Daily News in 2014 reported on a study about how, with a brain scan, a face is reconstructed—neuroscience ...

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