Inside a deep brain stimulation program at The Hospital for Sick Children (SickKids), researchers have discovered a brain signal that predicts when a child is about to lose attention—and that a brief, ...
Personalised risk-based monitoring may soon be the norm for patients with diabetes at high risk of lower extremity amputation ...
Researchers identify a brain signal that predicts attention loss and demonstrate that real-time, targeted stimulation can restore focus in children.
Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug ...
A biologically plausible reinforcement learning model that integrates associative memory and hippocampal remapping explains context-dependent flexible behavior, neural dynamics, and psychosis-related ...
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AI tool takes on airport chaos
A Robotics Institute has created an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. The post AI tool takes on airport chaos ...
T-Mobile and Ericsson said their AI-native RAN software improved 5G efficiency by nearly 10% and throughput by up to 15%.
Wearable sensors and machine learning can forecast self-injurious behavior in autistic youth, enabling proactive ...
Researchers may have found a useful role for rice husk waste in 3D printing: making PLA parts slide better and wear less.
A S AN UNEASY truce holds between America and Iran, experts are struggling to predict what new phase the conflict may enter ...
Airbnb prices, weather, local sporting events and even the economy impact an NFL fan’s likelihood to watch a game.
New brain signal: SickKids researchers identified a neural pattern predicting attention lapses in children, enabling targeted interventions to restore focus. Precision stimulation: Brief electrical ...
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