Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
A survey on hyperdimensional computing aka vector symbolic architectures, part i: Models and data transformations
This two-part comprehensive survey is devoted to a computing framework most commonly
known under the names Hyperdimensional Computing and Vector Symbolic Architectures …
known under the names Hyperdimensional Computing and Vector Symbolic Architectures …
The future of electronics based on memristive systems
A memristor is a resistive device with an inherent memory. The theoretical concept of a
memristor was connected to physically measured devices in 2008 and since then there has …
memristor was connected to physically measured devices in 2008 and since then there has …
In-memory hyperdimensional computing
Hyperdimensional computing is an emerging computational framework that takes inspiration
from attributes of neuronal circuits including hyperdimensionality, fully distributed …
from attributes of neuronal circuits including hyperdimensionality, fully distributed …
Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning
Memorization is an essential functionality that enables today's machine learning algorithms
to provide a high quality of learning and reasoning for each prediction. Memorization gives …
to provide a high quality of learning and reasoning for each prediction. Memorization gives …
CMOS-integrated memristive non-volatile computing-in-memory for AI edge processors
WH Chen, C Dou, KX Li, WY Lin, PY Li, JH Huang… - Nature …, 2019 - nature.com
Non-volatile computing-in-memory (nvCIM) could improve the energy efficiency of edge
devices for artificial intelligence applications. The basic functionality of nvCIM has recently …
devices for artificial intelligence applications. The basic functionality of nvCIM has recently …
Classification using hyperdimensional computing: A review
Hyperdimensional (HD) computing is built upon its unique data type referred to as
hypervectors. The dimension of these hypervectors is typically in the range of tens of …
hypervectors. The dimension of these hypervectors is typically in the range of tens of …
A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices
JM Hung, CX Xue, HY Kao, YH Huang, FC Chang… - Nature …, 2021 - nature.com
Non-volatile computing-in-memory (nvCIM) architecture can reduce the latency and energy
consumption of artificial intelligence computation by minimizing the movement of data …
consumption of artificial intelligence computation by minimizing the movement of data …
A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices
CX Xue, YC Chiu, TW Liu, TY Huang, JS Liu… - Nature …, 2021 - nature.com
The development of small, energy-efficient artificial intelligence edge devices is limited in
conventional computing architectures by the need to transfer data between the processor …
conventional computing architectures by the need to transfer data between the processor …
Vector symbolic architectures as a computing framework for emerging hardware
This article reviews recent progress in the development of the computing framework vector
symbolic architectures (VSA)(also known as hyperdimensional computing). This framework …
symbolic architectures (VSA)(also known as hyperdimensional computing). This framework …