Google’s Data Center Buildout Could Top $1 Trillion

In an exclusive interview, Google’s new AI infrastructure chief says the tech giant has a “significant investment” planned. At current levels, Forbes projects it could be a very big number indeed.
Techzine Europe

Nvidia is working on a chip for AI inferencing with Groq technology

In addition to GPUs that handle the lion's share of AI training, Nvidia wants to introduce a chip for running AI workloads on a daily basis. Thanks to the ...
eLife

“What” × “When” working memory representations using Laplace Neural Manifolds

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...
IEEE

Multidimensional Image Reconstruction via Deep Nonlinear Low-Rank Tensor Decomposition

Abstract: Low-rank tensor decomposition (LRTD) has demonstrated significant efficacy in multidimensional image reconstruction. Indeed, LRTD driven by nonlinear relationship can capture the underlying ...

The AI engine pipeline: 10 gates that decide whether you win the recommendation

AI recommendations are decided upstream. Understand the 10-gate pipeline, where brands fail, and how small improvements compound.
IEEE

Structured 3D-to-2D Tensor Projection for Efficient Low-Rank Deep Learning Model Compression

Abstract: Low-Rank Approximation (LRA) is a commonly used method for compressing deep learning (DL) models by factorizing weight matrices into lower-dimensional components. Although LRA is most ...