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convolutional neural networks

·June 19, 2019·5 min read

From one brain scan, more information for medical artificial intelligence

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.

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·May 15, 2019·5 min read

Artificial intelligence tool vastly scales up Alzheimer’s research

A 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.

This shows a two photon microscopy image of a neuron firing

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·April 12, 2019·4 min read

Artificial intelligence singles out neurons faster than a human can

Convolutional neural network model significantly outperforms previous methods and is as accurate as humans in segmenting active and overlapping neurons.

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·January 10, 2019·4 min read

Harnessing Machine Learning to Uncover New Insights Into the Brain

A 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.

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·January 7, 2019·4 min read

‘Deep Squeak’ Helps Researchers Decode Rodent Chatter

Using a deep learning algorithm dubbed 'DeepSqueak', researchers have been able to pick up and decode rodent vocalizations.

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·January 7, 2019·6 min read

Can AI Tell a Polar Bear From a Can Opener?

A new study from UCLA researchers demonstrates the limitations of some current deep learning algorithms.

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·January 4, 2019·5 min read

Artificial Intelligence Can Detect Alzheimer’s in Brain Scans Six Years Before Diagnosis

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.

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·December 7, 2018·4 min read

Computers Can Spot the Difference Between Healthy Brains and Those with Dissociative Identity Disorder

Machine learning algorithms were able to distinguish, with 73% accuracy, neurobiological differences between those with dissociative identity disorder and those without the condition.

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·December 4, 2018·3 min read

Mountain Splendor? Researchers Know Where Your Eyes Will Look

Combining neuroimaging data with deep convolutional neural networks, researchers were able to predict where people would direct their attention and gaze at images of natural scenes.

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·December 3, 2018·5 min read

Man Versus Machine: Who Wins When It Comes to Facial Recognition?

Researchers answer the questions of whether artificial intelligence is better at facial recognization than humans. The study found both humans and deep learning algorithms perform with similar levels of accuracy when identifying faces. However, when AI technology is combined with human intelligence, the accuracy attainment levels shot up and better results were achieved than when two facial examiners worked together.