Tom's Hardware on MSN

New 3D-stacked memory tech seeks to dethrone HBM in AI inference — d-Matrix claims 3DIMC will be 10x faster and 10x more efficient

Santa Clara-based startup d-Matrix looks to replace HBM in AI inference with 3DIMC, or 3D digital in-memory-compute. The ...
Ars Technica

Matrix multiplication advancement could lead to faster, more efficient AI models

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 ...
manilatimes

Matrix-3D Goes Open-Source: A New Benchmark for 3D World Generation

From August 11 to August 15, a new model will be unveiled each day, covering cutting-edge models for core multimodal AI scenarios. On August 12, the world model Matrix-3D for 3D world generation and ...
Ars Technica

Researchers upend AI status quo by eliminating matrix multiplication in LLMs

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...
SiliconANGLE

D-Matrix reveals plan to break through AI’s ‘memory wall’ with 3D DRAM-based chip architecture

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 ...
heise online

Resource-saving: Efficient AI language models without matrix multiplication

Researchers from the USA and China have presented a new method for optimizing AI language models. The aim is for large language models (LLMs) to require significantly less memory and computing power ...