Kinect@Home crowdsources for 3-D models

(Phys.org)—An open source undertaking called Kinect@Home offers the world a deal: "Users get access to 3-D models they can embed anywhere on the internet, and we use this data to create better computer vision algorithms." ...

Classical optical neural network exhibits 'quantum speedup'

In recent years, artificial intelligence technologies, especially machine learning algorithms, have made great strides. These technologies have enabled unprecedented efficiency in tasks such as image recognition, natural ...

Using 'cat states' to realize fault-tolerant quantum computers

Error correction in quantum computers could be simplified by a new protocol proposed by an all-RIKEN team based on "cat states." It could cut the computing resources needed to fix errors to the same level as conventional ...

Machine learning takes hold in nuclear physics

Scientists have begun turning to new tools offered by machine learning to help save time and money. In the past several years, nuclear physics has seen a flurry of machine learning projects come online, with many papers published ...

Better understanding of cellular metabolism with the help of AI

Metabolism is essential to all living organisms, and modeling the chemical reactions that sustain life is no easy task. Now, EPFL scientists have released REKINDLE, a deep-learning process that is paving the way for more ...

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