In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

Abstract: Sparse matrix-matrix multiplication (SpMM) is a prevailing kernel in scientific and artificial intelligence applications. However, the irregular memory access behaviors caused by diverse ...

PearlMatrix is now the only Class III drug-device spinal bone graft approved for all major lumbar interbody surgical approaches in addition to expanded approved cage materials. Now even more patients ...

Collaboration combines d-Matrix 3DIMC technology with Andes' high-performance RISC-V CPU IP for Raptor, d-Matrix's next-gen accelerator for blazing fast, sustainable AI inference TAIPEI, Nov. 17, 2025 ...

Collaboration combines d-Matrix 3DIMC technology with Andes' high-performance RISC-V CPU IP for Raptor, d-Matrix's next-gen accelerator for blazing fast, sustainable AI inference The collaboration ...

This paper came across my feed that implements sparse matrix-vector multiplication. Sparse matrix-vector multiplication (SpMV) is a fundamental operation in scientific computing, data analysis, and ...

Artificial intelligence computing infrastructure startup d-Matrix Corp. today unveiled a custom network card named JetStream designed from the ground up to support high-speed, ultra-low-latency AI ...

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 ...

Performing dense*sparse matrix multiplication using a CuSparseMatrixCOO does not yield the correct result. In the example below, dense*sparse spmm is performed ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...