Google’s TPUs are now considered to be giving stiff competition to NVIDIA’s GPUs for AI use-cases — Google’s Gemini 3 models were ...

SeQuant is an open-source library for symbolic algebra of tensors over commutative (scalar) and non-commutative (operator) rings. The key innovation supporting most of its functionality is a ...

In this paper, we will use Geometric Algebra to be able to embed the Klein-Gordon equation for a particle in a non-Euclidean field (gravitational field). This way, we will obtain an expression similar ...

Journal of the American Mathematical Society, Vol. 32, No. 3 (JULY 2019), pp. 691-707 (17 pages) Tigran Ananyan and Melvin Hochster, Small subalgebras of polynomial rings and Stillman’s conjecture, ...

NVIDIA unveils CUTLASS 4.0, introducing a Python interface to enhance GPU performance for deep learning and high-performance computing, utilizing CUDA Tensors and Spatial Microkernels. NVIDIA has ...

Abstract: Recent research has focused on leveraging sparsity in hardware accelerators to improve the efficiency of applications spanning scientific computing to machine learning. Most such prior ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

The aim of this work is to demonstrate that all linear derivatives of the tensor algebra over a smooth manifold M can be viewed as specific cases of a broader concept—the operation of derivation. This ...

ABSTRACT: In this paper, the solution of the matrix second semi-tensor product equation A ∘ l X ∘ l B=C is studied. Firstly, the solvability of the matrix-vector second semi-tensor product equation is ...