Welcome to MATRIX AI Network. Matrix AI Network was founded in 2017 with a team of young professionals who dare to think big while no bow to failures. Not just with dreams, the Team rolls up sleeves ...
Matrix AI Consulting launches Agentic AI, a new autonomous AI solution designed to streamline business operations and enhance decision-making. Agentic AI isn’t just automation - it’s about intelligent ...
TOKYO--(BUSINESS WIRE)--MATRIX Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Junichi Goishi; hereinafter “MATRIX”) of the MetaReal Group has announced the capability of exporting ...
Matrix AI Network, an innovator in the decentralized AI economy, has announced a groundbreaking strategic partnership with NeuraMatrix, a leading Chinese neuroscience company focused on brain-computer ...
ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...
Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...
Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...
SAN JOSE, Calif., Oct. 14, 2025 /PRNewswire/ -- Generative AI inference pioneer d-Matrix, in collaboration with AI infrastructure leaders Arista, Broadcom and Supermicro, today announced SquadRack™, ...
(Bloomberg) -- D-Matrix Corp., a Microsoft Corp.-backed AI chip startup, raised $275 million from new investors including Qatar Investment Authority and Singapore’s EDBI, valuing the company at $2 ...
When SAG-AFTRA President Fran Drescher addressed the audience gathered at the Shrine Auditorium during this year’s Screen Actors Guild Awards, she hammered home what many understand to be the industry ...
AI training time is at a point in an exponential where more throughput isn't going to advance functionality much at all. The underlying problem, problem solving by training, is computationally ...