Abstract: Matrix-matrix multiplication (MM) of large matrices plays a crucial role in various applications, including machine learning. MM requires significant computational resources, but accessing ...

Welcome to the Official Repository for MATRIX Robotics System Studio 2.0 Component Files! This repository provides comprehensive usage instructions for MATRIX components within Studio 2.0. It is ...

d-Matrix completed a US$275 million Series C round in early November, raising its valuation to US$2 billion, and is speeding up the commercialisation of its 3D In-Memory Compute (3D IMC) technology ...

ST. LOUIS (SC25) — Nov 17, 2025 – Generative AI inference compute company d-Matrix and Andes Technology , a supplier of RISC-V processor cores, announced that d-Matrix has selected the AndesCore ...

The idea that we might be living inside a vast computer simulation, much like in The Matrix, has fascinated philosophers and scientists for years. But a new study from researchers at the University of ...

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 ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality. By ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

CARLSBAD, Calif.– Edge-to-core AI platform company GigaIO today announced the next phase of its partnership with d-Matrix to deliver an inference solution for enterprises deploying AI at scale.

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