Recruiting Editorial Board Members for Section “Artificial Intelligence Circuits and Systems (AICAS)” in Electronics
The “Artificial Intelligence Circuits and Systems (AICAS)” Section in Electronics (ISSN: 2079-9292) is focused on publications that are related to circuits and systems for artificial intelligence. The Section covers topics of interest within hardware-based deep learning AI and algorithmic deep learning AI using machine learning. It is dedicated to the publication of articles not only from the listed areas but also from similar or related areas. We encourage the submission of original contributions derived from theoretical and/or application-oriented research studies.
The subject areas of interest include, but are not limited to, the following:
- Circuits and systems for artificial intelligence;
- Tools/platforms for artificial intelligence;
- Artificial intelligence computing;
- Advanced neural network design;
- Neuromorphic processors;
- Deep learning algorithms;
- Machine learning algorithms;
- Cloud artificial intelligence computing platforms;
- Hardware accelerators;
- Hardware design for artificial intelligence systems;
- Design automation for artificial intelligence systems;
- Emerging applications of artificial intelligence;
- Medical applications of artificial intelligence;
- Autonomous vehicle applications of artificial intelligence;
- Smart cities and environmental applications of artificial intelligence.
If you are an active researcher in the field and are passionate about participating in cutting-edge research publications, please do not hesitate to contact us about joining the board and contributing to this section.
For more information, please visit https://www.mdpi.com/journal/electronics/sections/AICAS.
If you have any questions, please contact the Managing Editor Ms. Queena Cui (queena.cui@mdpi.com).