Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

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 ...

FORT WAYNE, IN, UNITED STATES, November 4, 2025 / EINPresswire.com / -- Princeton TMX, a leading provider of cloud-based transportation management technology, today announced it has been recognized as ...

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 ...

FourKites®, the leader in AI-driven supply chain transformation and pioneer of real-time visibility, today announced its placement as an Accelerator in the Nucleus Research 2025 Control Tower ...

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 ...