This model predicts that the capacity of the human working memory depends on the frequency (i.e., speed) of theta brain oscillations. The recent study by Pileckyte and Soto Faraco builds on this model ...

For very sound technical and economic reasons, processors of all kinds have been overprovisioned on compute and underprovisioned on memory bandwidth – and sometimes memory capacity depending on the ...

There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. But, as we were ...

We’re on the verge of a new era of computing that will likely see major changes to the data center, thanks to the growing dominance of artificial intelligence (AI) and machine learning (ML) ...

Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...