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 …
Dendrocentric learning for synthetic intelligence
K Boahen - Nature, 2022 - nature.com
Artificial intelligence now advances by performing twice as many floating-point
multiplications every two months, but the semiconductor industry tiles twice as many …
multiplications every two months, but the semiconductor industry tiles twice as many …
[HTML][HTML] Roadmap to neuromorphic computing with emerging technologies
The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …
transforming the way we interact with technology. Currently, the deployment of AI and …
Introducing 'neuromorphic computing and engineering'
G Indiveri - Neuromorphic Computing and Engineering, 2021 - iopscience.iop.org
The standard nature of computing is currently being challenged by a range of problems that
start to hinder technological progress. One of the strategies being proposed to address …
start to hinder technological progress. One of the strategies being proposed to address …
Review of neuromorphic computing based on NAND flash memory
ST Lee, JH Lee - Nanoscale Horizons, 2024 - pubs.rsc.org
The proliferation of data has facilitated global accessibility, which demands escalating
amounts of power for data storage and processing purposes. In recent years, there has been …
amounts of power for data storage and processing purposes. In recent years, there has been …