Current Updates of Neuromorphic Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 81
Special Issue Editors
Interests: HW/SW co-design for neuromorphic computing system
Interests: extreme-environment electronics; high-frequency/speed analog circuits; memory devices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the end of Moore’s law and technology scaling approaching, research communities have been looking at a new innovative alternative method of continuing the advancement of computational performance. In this regard, neuromorphic computing is an emerging field that has the potential to drastically influence every human’s life in future decades. Since the key concept of neuromorphic computing was proposed in the 1980s, the field has continued to evolve and encompass a wider variety of applications. In recent years, neuromorphic computing has gained significant attention and interest from both research and industry communities. Fundamentally, neuromorphic computing explores the computing process of the brain and attempts to replicate it onto modern electronic hardware. It offers improvements to overcome the limitations associated with current computer architecture, von Neumann architecture, and will lead to more efficient computing, the easier development of machine learning, and further integration of electronics and biology.
In this Special Issue, we welcome the submission of up-to-date advancements, improvements, and innovations in the field of neuromorphic computing. This Special Issue invites original research focused on synaptic device material (organinc/inorganic), models, circuit implementation, system configurations, and algorithmic investigations. Considering the wide usability of neuromorphic computing, applications to various areas such as healthcare, signal processing (image/video/sound), industrial production/optimization, and artificial intelligence (edge device, large scale) are also welcome.
Dr. Minsuk Koo
Dr. Ickhyun Song
Guest Editors
Manuscript Submission Information
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Keywords
- leaky-integrate–fire
- neuromorphic computing
- post-von-Neumann architecture
- synaptic devices
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