Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Teaching techniques refer to the diverse array of strategies and methodologies employed by educators to engage students and facilitate effective learning experiences. What are some examples of ...