AI Sensors | Aims Update
To further enhance the quality of AI Sensors and the papers published in it, under the guidance of our Editor-in-Chief, Prof. Dr. Chengkuo Lee, the journal has updated and revised its aims. The original aims and the updated version are listed below:
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Aims (new version): |
Aims (old version): |
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The rapid evolution of artificial intelligence (AI) has ushered in an era of unprecedented innovation across various industries. As AI continues to transform our world, the integration of AI sensors is becoming increasingly essential. AI Sensors (ISSN 3042-5999) is an international, peer-reviewed, open access journal that aims to provide a platform for researchers, engineers, and innovators to explore and share their cutting-edge developments, insights, and breakthroughs in the field of AI sensing technologies, with a particular focus on edge computing and AIoT (AI and Internet of Things) sensing. The field of AI sensors encompasses a wide range of technologies that enable machines to perceive, interpret, and interact with the world around them. With the rise of in-sensor computing, these sensors are increasingly being deployed in decentralized environments, where data processing and decision making occur closer to the source of data. This paradigm shift is particularly relevant in the context of AIoT, where the convergence of AI and IoT is driving the development of smart, connected systems. AI Sensors aims to bridge the gap between the AI, IoT, and sensor communities, fostering collaboration and knowledge exchange to accelerate innovation in edge computing and AIoT sensing technologies. The journal publishes research articles, reviews, editorials, communications, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the maximum length of the papers for research articles and reviews. The full experimental details must be provided so the results can be reproduced. |
The rapid evolution of artificial intelligence (AI) has ushered in an era of unprecedented innovation across various industries. As AI continues to transform our world, the integration of AI sensors is becoming increasingly essential. AI Sensors (ISSN 3042-5999) aims to provide a platform for researchers, engineers, and innovators to explore and share their cutting-edge developments, insights, and breakthroughs in the field of AI sensing technologies, with a particular focus on edge computing and AIoT (AI and Internet of Things) sensing. The field of AI sensors encompasses a wide range of technologies that enable machines to perceive, interpret, and interact with the world around them. With the rise of edge computing, these sensors are increasingly being deployed in decentralized environments, where data processing and decision making occur closer to the source of data. This paradigm shift is particularly relevant in the context of AIoT, where the convergence of AI and IoT is driving the development of smart, connected systems. AI Sensors aims to bridge the gap between the AI, IoT, and sensor communities, fostering collaboration and knowledge exchange to accelerate innovation in edge computing and AIoT sensing technologies. |
For more detailed information, please visit the following link: https://www.mdpi.com/journal/aisens/about.
AI Sensors Editorial Office