Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Describe the bug TL;DR The synchronization behavior for atomic ops is inconsistent between scalar vs. tensor, and release pattern vs. acquire pattern. I'm looking for a nice way to implement locks ...

Article citations More>> Moffat, J.W. (2006) Scalar-Tensor-Vector Gravity Theory. Journal of Cosmology and Astroparticle Physics, 4. has been cited by the following article: TITLE: Conversion of ...

Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ML models, ...

Sagence AI™ today emerged from stealth unveiling a groundbreaking advanced analog in-memory compute architecture that directly addresses the untenable power/ ...

Tensor’s Vector.fun app combines SocialFi with meme coin trading, targeting Gen Z and “normies” with a community-centric experience. After a high-demand early access launch, Tensor aims to redefine ...

Hardware Graphics Cards AMD is set to finally join Nvidia with FSR 4, using AI to power frame generation, though no word on upscaling yet ...

Ray for another. Cuda cores another. Tensor for another. Scalar, vector, matrix, tensor. I just don't agree this isn't useful. Predicting the next frame in a game has all sorts of applications.

Moffat, J.W. (2006) Scalar-Tensor-Vector Gravity Theory. Journal of Cosmology and Astroparticle Physics, 2006, Article 4.

According to the company, the LPU100 can perform complex operations such as vector-matrix multiplications — a demanding computational workload — in just 10 nanoseconds.