The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS).
Neuromorphic computing, inspired by the structure and functions of the human brain, is transforming the development of energy-efficient, adaptive, and highly parallel processing systems. This field seeks to bridge the gap between traditional computing architectures and biological neural networks by...
Saved in:
Main Authors: | DanielRaj K, Ponseka G, Bharath Sanjai Lordwin D J3 |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Technology and Education Galileo da Amazônia
2025-01-01
|
Series: | ITEGAM-JETIA |
Online Access: | http://itegam-jetia.org/journal/index.php/jetia/article/view/1425 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Editorial: Brain-inspired computing: from neuroscience to neuromorphic electronics for new forms of artificial intelligence
by: Daniela Gandolfi, et al.
Published: (2025-02-01) -
Principled neuromorphic reservoir computing
by: Denis Kleyko, et al.
Published: (2025-01-01) -
Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing
by: David Alcer, et al.
Published: (2025-01-01) -
Neuromorphic system using capacitor synapses
by: Reon Oshio, et al.
Published: (2025-01-01) -
Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware
by: Madison Cotteret, et al.
Published: (2025-01-01)