Helping to improve medical image analysis with deep learning

Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient's image collection can contain ...

Deep learning for electron microscopy

Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...

Music in our ears: The science of timbre

New research, published in PLOS Computational Biology, offers insight into the neural underpinnings of musical timbre. Mounya Elhilali, of Johns Hopkins University and colleagues have used mathematical models based on experiments ...

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 ...

AI method determines quantum advantage for advanced computing

Creating quantum computers is costly and time-consuming, and the resulting devices are not guaranteed to exhibit any quantum advantage—that is, they often do not operate faster than a conventional computer. So researchers ...

Machine perception lab reveals robotic one-year-old (w/ video)

(Phys.org)—The world is getting a long-awaited first glimpse at a new humanoid robot in action mimicking the expressions of a one-year-old child. The robot will be used in studies on sensory-motor and social development ...

Could artificial intelligence make life harder for hackers?

As the volume of digital information in corporate networks continues to grow, so grows the number of cyberattacks, and their cost. One cybersecurity vendor, Juniper Networks, estimates that the cost of data breaches worldwide ...

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