Category: Deep Learning
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Deep learning driven prosthetic hand + camera recognize, automate required grips
Ghazal Ghazai and Newcastle University colleagues have developed a deep learning driven prosthetic hand + camera system that allow wearers to reach for objects automatically. Current prosthetic hands are controlled via a user’s myoelectric signals, requiring learning, practice, concentration and time. A convolutional neural network was trained it with images of 500 graspable objects, and taught to recognize…
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Diabetic retinopathy-detecting algorithm for remote diagnosis
Google has developed an algorithm which it claims is capable of detecting diabetic retinopathy in photographs. The goal is to improve the quality and availability of screening for, and early detection of, the common and debilitating condition. Typically, highly trained specialists are required to examine photos, to detect the lesions that indicate bleeding and fluid…
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Brain architecture linked to consciousness, abstract thought
UMass professor Hava Siegelmann used fMRI data from tens of thousands of patients to understand how thought arises from brain structure. This resulted in a geometry-based method meant to advance the identification and treatment of brain disease. It can also be used to improve deep learning systems, and her lab is now creating a “massively recurrent deep learning…