pattern recognition

Neural network learns when it should not be trusted

Neural network learns when it should not be trusted

Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.

Assessing mental illnesses through digital phenotyping

Assessing mental illnesses through digital phenotyping

Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.

AI signals a possible disease resurgence

AI signals a possible disease resurgence

Scientists have used machine learning to predict the reemergence of existing infectious diseases.

Wearable EEG detects epileptic seizures

Wearable EEG detects epileptic seizures

A consortium is developing a mobile neurosensing system suitable for everyday use that detects epileptic seizures automatically.

AI could help stem tide of school violence

AI could help stem tide of school violence

Researchers developed an AI system that analyzes linguistic patterns to predict a youth’s risk for committing acts of school violence.

AI in healthcare – hype, hope and reality

AI in healthcare – hype, hope and reality

Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.

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