Recent advances and future prospects for memristive materials, devices, and systems

MK Song, JH Kang, X Zhang, W Ji, A Ascoli… - ACS …, 2023 - ACS Publications
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Hardware implementation of memristor-based artificial neural networks

F Aguirre, A Sebastian, M Le Gallo, W Song… - Nature …, 2024 - nature.com
Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …

Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Deep learning enabled fast 3D brain MRI at 0.055 tesla

C Man, V Lau, S Su, Y Zhao, L Xiao, Y Ding… - Science …, 2023 - science.org
In recent years, there has been an intensive development of portable ultralow-field magnetic
resonance imaging (MRI) for low-cost, shielding-free, and point-of-care applications …

A survey on deep learning hardware accelerators for heterogeneous hpc platforms

C Silvano, D Ielmini, F Ferrandi, L Fiorin… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent trends in deep learning (DL) imposed hardware accelerators as the most viable
solution for several classes of high-performance computing (HPC) applications such as …

Close to the metal: Towards a material political economy of the epistemology of computation

L Rella - Social Studies of Science, 2024 - journals.sagepub.com
This paper investigates the role of the materiality of computation in two domains: blockchain
technologies and artificial intelligence (AI). Although historically designed as parallel …

An electromagnetic perspective of artificial intelligence neuromorphic chips

EP Li, H Ma, M Ahmed, T Tao, Z Gu… - Electromagnetic …, 2023 - ieeexplore.ieee.org
The emergence of artificial intelligence has represented great potential in solving a wide
range of complex problems. However, traditional general-purpose chips based on von …

Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets

Z Yang, S Ji, X Chen, J Zhuang… - 2024 29th Asia and …, 2024 - ieeexplore.ieee.org
Fast-evolving artificial intelligence (AI) algorithms such as large language models have
been driving the ever-increasing computing demands in today's data centers …

The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview

AA Khan, JPC De Lima, H Farzaneh… - arXiv preprint arXiv …, 2024 - arxiv.org
In today's data-centric world, where data fuels numerous application domains, with machine
learning at the forefront, handling the enormous volume of data efficiently in terms of time …

[HTML][HTML] The flux operator

V Sochat, A Culquicondor, A Ojea, D Milroy - F1000Research, 2024 - ncbi.nlm.nih.gov
Converged computing is an emerging area of computing that brings together the best of both
worlds for high performance computing (HPC) and cloud-native communities. The economic …