IEEE

NeRF-Learner: A 2.79mJ/Frame NeRF-SLAM Processor with Unified Inference/Training Compute-in-Memory for Large-Scale Neural Rendering

Abstract: This paper presents a NeRF-SLAM processor with online learning capability for real-time on-the-fly large-scale neural rendering. Cross-stack innovations are developed to push the efficiency, ...
IEEE

WS-CIM: Enabling Fast and Simultaneous Update for Multi-Macro Compute-in-Memory Architecture Using Weight Sharing Technique

Abstract: Compute-in-memory CIM) architecture has been widely studied to accelerate deep neural networks (DNNs). CIM improves energy and area efficiency by performing multiply-accumulate (MAC) ...
Vancouver

SFU partners with Queen's University, seeks $900M from feds for supercomputers

Dugan O'Neil, vice-president of research and innovation at SFU, is partnering with Queen's University to bid for what could be $900 million in federal money to expand supercomputing.Rob Kruyt, BIV ...
KXAN

Elon Musk announces $20B Terafab chip plant for Austin as AI ambitions escalate

AUSTIN (Austin Business Journal) — Elon Musk announced late Saturday inside the Seaholm Power Plant that his much-anticipated $20 billion Terafab will be built here in Austin. It ends a week of ...
IEEE

Reconfigurable Precision INT4-8/FP8 Digital Compute-in-Memory Macro for AI Acceleration

Abstract: Compute-in-memory (CIM) technology has emerged as a promising solution to address the computational demands of deep neural network (DNN) models, which require substantial multiply-accumulate ...