Deep convolutional neural networks were used to help process neonatal brain image data. Modified LiviaNET and HyperDense-Net deep learning neural networks are discussed. Read More
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··4 min readResearchers have developed a smart onesie that accurately measures the spontaneous and voluntary movements of infants from five months. The smart-clothing could help assess abnormal neurological and motor development in infants. Read More
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··4 min readStudy calls into question the use of current machine learning technologies in the search for extra-terrestrial intelligent life. Read More
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··3 min readA new convolutional neural network that utilizes MRI brain scans can forecast genetic mutations in glioma brain tumors. Read More
Artificial vision networks can learn to recognize complex images faster by using topological data analysis. Read More
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A convolutional neural network, designed by researchers at MIT, uses MRI datasets to find anatomical structures of the brain. The system could help in diagnosing and treating a range of brain conditions. Read More
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··5 min readA convolutional neural network algorithm is able to process an entire whole brain slice slide with 98.7% accuracy. The technology could help speed up the diagnosis of Alzheimer's disease. Read More
Convolutional neural network model significantly outperforms previous methods and is as accurate as humans in segmenting active and overlapping neurons. Read More
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··4 min readA new study combined neuroimaging with machine learning to reveal cellular properties in different brain regions. The approach and findings, researchers report, could potentially be used to asses the treatment of neurological disorders and develop new therapies. Read More
Using a deep learning algorithm dubbed 'DeepSqueak', researchers have been able to pick up and decode rodent vocalizations. Read More
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience ArticlesVisual Neuroscience
··6 min readA new study from UCLA researchers demonstrates the limitations of some current deep learning algorithms. Read More
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A new machine learning algorithm was able to predict, with 98% accuracy, which patients would develop Alzheimer's disease, six years prior to diagnosis by analyzing PET brain scans. Read More
