pattern recognition

An on-chip printed 'electronic nose'

An on-chip printed 'electronic nose'

Researchers have designed an on-chip printed 'electronic nose' that serves as a proof of concept for low-cost and sensitive devices to be used in healthcare.

'Liquid' machine learning system adapts to changing conditions

'Liquid' machine learning system adapts to changing conditions

A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.

Self-learning algorithms analyze imaging data

Self-learning algorithms analyze imaging data

Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.

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.

▲