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Machine Learning

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·August 3, 2021·5 min read

Machine Learning Approach for Predicting Risk of Schizophrenia Using a Blood Test

Blood tests revealed specific epigenetic biomarkers for schizophrenia. Researchers applied machine learning to analyze the CoRSIVs region of the human genome to identify the schizophrenia biomarkers. Testing the model with an independent data set revealed the AI technology can detect schizophrenia with 80% accuracy.

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·July 30, 2021·6 min read

How Artificial Neural Networks Help Us Understand Neural Networks in the Human Brain

Researchers propose a novel computational framework that uses artificial intelligence technology to disentangle the relationship between perception and memory in the human brain.

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Artificial Intelligence Deep Learning Featured Machine Learning Neuroscience Open Neuroscience Articles Psychology

·July 26, 2021·4 min read

Machine Learning Used to Successfully Measure Attachment in Children

Artificial intelligence technology was able to accurately predict attachment in young children.

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·July 22, 2021·4 min read

New Algorithm Flies Drones Faster Than Human Racing Pilots

A new artificial intelligence algorithm can find the quickest trajectory to fly a drone through a series of waypoints on a circuit. The AI proved to be faster at controlling the drone and completing the track than two world-class human pilots.

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·July 21, 2021·4 min read

Wearable Brain-Machine Interface Turns Intentions Into Actions

A new brain-machine interface allows wearers to wirelessly control a wheelchair or robotic arm by simply imagining an action. The neuroprosthesis could help improve the quality of life for those with disabilities.

Artificial Intelligence Deep Learning Featured Machine Learning Neuroscience

·July 20, 2021·3 min read

Mind and Matter: Modeling the Human Brain With Machine Learning

Researchers created a new human brain model using machine learning-based optimization of required user profile information.

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·July 13, 2021·4 min read

Machine-Learning Can Identify Signs of Alzheimer’s in Patients Recalling the Story of Cinderella

Combining artificial intelligence technology with speech analysis, researchers report while AI can be used to assess speech patterns for signs of Alzheimer's, the specific task assigned to the person being tested plays a critical role in the accuracy of diagnosis.

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Artificial Intelligence Deep Learning Featured Machine Learning Neuroscience Open Neuroscience Articles

·July 8, 2021·3 min read

Brain Mechanism That Automatically Links Objects in Our Minds Identified

Combining machine learning with neuroimaging data, researchers identified a brain region that appears to govern contextual associations.

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·June 21, 2021·3 min read

A Robot Has Learned to Combine Vision and Touch

Combining deep learning algorithms with robotic engineering, researchers have developed a new robot able to combine vision and touch.

Artificial Intelligence Deep Learning Featured Machine Learning Neuroscience Neurotech Open Neuroscience Articles

·June 16, 2021·5 min read

Researchers Translate a Bird’s Brain Activity Into Song

Using data from brain activity, researchers were able to replicate the song of zebra finches in exact detail.

Artificial Intelligence Deep Learning Featured Machine Learning Neuroscience

·May 25, 2021·5 min read

AI Spots Neurons Better Than Human Experts

A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases.

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Artificial Intelligence Deep Learning Featured Machine Learning Neuroscience

·May 17, 2021·7 min read

Debiasing Artificial Intelligence: Concerns for Unintentional Bias in Health-Based AI Raised

Recent studies have found significant biases in artificial intelligence algorithms. Researchers are raising their concerns about AI biases associated with medical devices and algorithms used to analyze health risks. If left unchecked, they say, the technologies could continue to perpetuate sex, gender, and race biases that could exacerbate health care disparities.

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