A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

A new study suggests our brains store narratives by linking related events into tree-like structures, explaining how we ...

Network embedding aims to learn the low-dimensional node representations for networks, which has attracted an increasing amount of attention in recent years. Most existing efforts in this field ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

Deep neural network (DNN) has recently attracted tremendous attention in various fields. But the computing operation requirement and the memory bottleneck limit the energy efficiency of hardware ...

Dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.

Dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.