This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

The brain constantly toggles between focusing on external sensory information and internal mental representations like ...

A research team from the Faculty of Psychology at the University of Barcelona, the UB Institute of Neurosciences (UBneuro) ...

With chiplets gaining traction, chip designers face a critical question: When should you step away from a monolithic ASIC? The answer, according to IC-Link by imec, is ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

You have access to the Memento MCP knowledge graph memory system, which provides you with persistent memory capabilities. Your memory tools are provided by Memento MCP, a sophisticated knowledge graph ...

We propose a memory-centric deep learning system that can transparently expand the memory capacity accessible to the accelerators while also providing fast inter-device communication for parallel ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

To address the problem, a new fail address memory architecture for cost-effective ATE is proposed in this article. In the proposed architecture, memory fault information is compressed and unrequired ...