This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

This technological breakthrough allows the EO-1 system to demonstrate remarkable intelligence in kitchen scenarios: when detecting changes in pot temperature, the system automatically associates it ...

This architecture enables EO-1 to simultaneously process visual signals, language instructions, and action feedback, thereby enhancing the robot's intelligence level. In kitchen scenarios, EO-1 ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

To address such issues of cultural inclusion in AI, the field has attempted to incorporate cultural knowledge into models ...

Explore why current AI market hype may lead to overvalued stocks, lessons from past bubbles, and how selective caution can guide smarter investments today.

Introduction Identifying anxiety disorders in autistic youth can be challenging due to the unique presentation of anxiety symptoms in autistic youth and the difficulties youth may have reporting on ...