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 …
Hardware implementation of memristor-based artificial neural networks
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 …
techniques, which rely on networks of connected simple computing units operating in …
Intelligent computing: the latest advances, challenges, and future
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 …
we have witnessed the emergence of intelligent computing, a new computing paradigm that …
A survey on deep learning hardware accelerators for heterogeneous hpc platforms
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 …
solution for several classes of high-performance computing (HPC) applications such as …
Deep learning enabled fast 3D brain MRI at 0.055 tesla
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 …
resonance imaging (MRI) for low-cost, shielding-free, and point-of-care applications …
[HTML][HTML] Survey of deep learning accelerators for edge and emerging computing
The unprecedented progress in artificial intelligence (AI), particularly in deep learning
algorithms with ubiquitous internet connected smart devices, has created a high demand for …
algorithms with ubiquitous internet connected smart devices, has created a high demand for …
Close to the metal: Towards a material political economy of the epistemology of computation
This paper investigates the role of the materiality of computation in two domains: blockchain
technologies and artificial intelligence (AI). Although historically designed as parallel …
technologies and artificial intelligence (AI). Although historically designed as parallel …
An electromagnetic perspective of artificial intelligence neuromorphic chips
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 …
range of complex problems. However, traditional general-purpose chips based on von …
When in-memory computing meets spiking neural networks—A perspective on device-circuit-system-and-algorithm co-design
This review explores the intersection of bio-plausible artificial intelligence in the form of
spiking neural networks (SNNs) with the analog in-memory computing (IMC) domain …
spiking neural networks (SNNs) with the analog in-memory computing (IMC) domain …
Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets
Fast-evolving artificial intelligence (AI) algorithms such as large language models have
been driving the ever-increasing computing demands in today's data centers …
been driving the ever-increasing computing demands in today's data centers …