Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian optimization for efficient sampling, they achieved a maximum blocking force of 37.0 mN -- 73 times more efficient than conventional methods. These findings could help develop remote-controlled actuators for medical devices and robotics, supporting applications such as minimally invasive surgery and precision drug delivery.
Read more …Machine learning unlocks superior performance in light-driven organic crystals
The human brain can learn through experience to filter out disturbing and distracting stimuli -- such as a glaring roadside billboard or a flashing banner on the internet. Scientists have used electroencephalography (EEG) to show that early visual processing in humans changes with repeated exposure.
Read more …The brain learns to filter out distracting stimuli over time