Bioinspired Artificial Intelligence Applications

Dear Colleagues,

With rapid development of Artificial Intelligence (AI), researchers have found many bioinspired AI applications, such as bioinspired images and speech processing, which can increase accuracy; bioinspired AI models deployed on edge devices can reduce cost and energy usage; bioinspired AI noise reduction technologies could enhance the bio-signal quality; bioinspired AI applications for audio analysis can be used for detecting COVID-19; smart watch-generated bio-signals can be utilized by AI to monitor users' health condition, and so on.

On the other hand, improper AI utilization also creates challenges for human beings, such as synthesised images by AI can be used to generate fake news, AI synthesised speech can simulate a target speaker and cause security issues for personal devices, AI generated speech and text can be used for phone scams, and so on.

To explore the potential of AI applications and also deal with these challenges for improper AI utilization, state-of-the-art AI-based technologies in image processing, video processing, speech and audio processing, natural language processing, multi-modality processing, internet-of-things, edge computing, autonomous deriving, and smart healthcare, can adding intelligence to human-centered AI applications and solved the challenges associated with improper AI utilization.

The aim of this Special Issue is to present a multidisciplinary state-of-the-art reference regarding theoretical and real-world challenges, and innovative solutions by inviting high-quality research papers for bioinspired AI applications.

The topics of interest for this Special Issue include, but are not limited to, the following:

• Bioinspired image classification, noise reduction, segmentation, and object detection.
• Bioinspired video surveillance, object detection, object tracking, and noise reduction applications.
• Bioinspired speech recognition (ASR), speech synthesis (TTS), speech noise reduction, and speaker ID applications.
• Personalized audio, image, and video processing for human-related applications.
• Bioinspired natural language processing (NLP) applications.
• Bioinspired multi-modality applications.
• Bioinspired wearable biosensors and Internet of Things (IoT) applications.
• Edge computing models and lite deep learning models bioinspired applications.
• Other bioinspired Artificial Intelligence applications.

Dr. Haoran Wei
Dr. Fei Tao
Dr. Zhenghua Huang
Dr. Yanhua Long
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.