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 ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

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 ...

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 ...

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

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 ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

The findings suggest that in India, ChatGPT is evolving from a curiosity to a core utility, particularly for coding, learning ...

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 ...

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 ...