Frontiers

From the Cerebellum Networking to Brain Dynamics Function

Recent advances in understanding the brain’s dynamic functioning have been achieved through a wide range of experiments conducted across multiple levels of ...
Frontiers

Robotics & machine learning for understanding neural networks

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
insideHPC

Kneron Launches Neural Processing Unit for AI

Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is - ...
IEEE

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds

Abstract: Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) consisting of ...

Apple leans on GPU and neural power as CPU gains slow

Apple’s power scaling looks to have reached a point where the CPU cores are efficient enough that adding wattage to the mix ...