This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...
Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
The increasing integration of artificial intelligence and distributed computing into robotics is reshaping how autonomous systems operate, collaborate, and ...
Josh and Alex are both excited about the future of design engineering and are committed to staying at the forefront of these trends. They regularly attend industry conferences, participate in online ...