Multi-task learning (MTL) represents a paradigm shift in the way machine learning models are developed, whereby multiple related tasks are learned simultaneously. By leveraging shared representations ...

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

Figure's Brett Adcock claimed a "ChatGPT moment" for humanoid robotics on the weekend. Now, we know what he means: the robot can now watch humans doing tasks, build its own understanding of how to do ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It ...

Intrinsic motivation, the internal drive to engage in activities for their inherent satisfaction, is a fundamental aspect of effective learning. This concept, rooted in the principles of ...

Research suggests that some review sessions need to be widely spaced by two months or more from the initial learning. The amount and spacing of foreign language vocabulary learning have an enormous ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That approach works well in classical science. Once quantum effects dominate, the ...

Just as for humans, sufficient sleep supports learning and coping for horses. A recent study at the University of Helsinki ...

Parents are much less likely to intervene when their young children are getting dressed or performing other simple chores if those tasks are framed as learning opportunities, according to a new study ...