Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...
Artificial intelligence has raced ahead so quickly that the bottleneck is no longer how many operations a chip can perform, ...
Abstract: Deep neural networks (DNNs) have revolutionized fields like image recognition and natural language processing but face limitations with traditional von Neumann architectures due to high ...
Abstract: The rapid advancement of neuromorphic technology aims to address the memory wall challenge inherent in conventional von Neumann architectures. This paper critically examines current digital ...