In the field of data science and engineering, tensors have become an essential tool for representing and analyzing ...
Modern Engineering Marvels on MSN
China’s Analog RRAM Chip Shatters GPU Limits with 1,000× Speed Boost
What if a century-old computing concept suddenly leapfrogged the most advanced GPUs on the planet? That’s exactly what researchers at Peking University have demonstrated with a new analog processor ...
Tech Xplore on MSN
RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a high-precision and scalable analogue matrix computing chip based on RERAM, which ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear ...
Abstract: In this paper, fractional order implicit dynamics (FOID) is first proposed and investigated for solving time-varying linear matrix equation $A(t) X(t) B(t ...
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