Researchers combine machine learning with electrical stimulation to enhance attention at the precise moment necessary in children with epilepsy, ADHD and typically developing peers.
A S AN UNEASY truce holds between America and Iran, experts are struggling to predict what new phase the conflict may enter ...
Researchers identify a brain signal that predicts attention loss and demonstrate that real-time, targeted stimulation can restore focus in children.
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Brain scans identify the neural network that traps anxious people in cycles of self-blame
New research published in Progress in Neuro-Psychopharmacology and Biological Psychiatry suggests that people with higher ...
T-Mobile and Ericsson said their AI-native RAN software improved 5G efficiency by nearly 10% and throughput by up to 15%.
A cell on its way to becoming skin pigment, blood, or nerve does not make that shift alone. It responds to a dense web of ...
Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...
Scientists have developed a new AI method that can work backward from patterns to uncover the hidden processes driving them.
MOZAIC leverages deep learning to optimize fecal microbiota transplantation, enhancing treatment efficacy through precise ...
New AI framework: RegVelo combines RNA velocity and gene regulatory network modeling to predict how cells change and which genes drive those changes. Tested in zebrafish: The model identified known ...
What are the first steps that chart the path for a cell to become a blood cell, neuron cell, or pigment cell? Scientists have developed increasingly powerful tools to track those changes, but one ...
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