Artificial intelligence (AI), cognitive computing, machine learning, and brain-inspired computing are among the most trending research focus in cyber-physical systems (CPS). Brain inspiration computing leads to faster, more efficient threat detection in CPS. This has resulted in the development of brain-inspired computing algorithms including nature-inspired algorithms, genetic algorithms, swarm algorithms, and pattern recognition algorithms for addressing hard computational problems and CPS research challenges. Cognitive Cyber-Physical Systems (CCPS) are witnessing rapid transformation as an interdisciplinary technology that blends physical components and computing devices to enable AI-based solutions. CCPS integrate machine learning/AI with brain-inspired computing in creating smart systems. This era is witnessing a rapid transformation in digital technology and AI where brain-inspired computing-based solutions will play a vital role in industrial informatics. The application of CCPS with brain-inspired computing in Industry 4.0 will create a significant impact on industrial evolution. The industrial evolution such as smart household, medical systems, autonomous driving systems, and robotic systems use connected devices, data analytics, cloud computing, and artificial intelligence to automate the process further. These enabling technologies have the full capabilities to provide interoperability, information transparency, technical assistance, and decentralized decisions. The fifth Industrial Revolution is expected to pair humans and machines to further utilize human brainpower and creativity to increase process efficiency by combining workflows with intelligent systems. In Industry 5.0, robots will not only be a programmable machine but also will transform into an ideal human companion for some scenarios. With recent advancements in brain-inspired computing and AI, more realistic brain intelligence level algorithms will be created.
The purpose of this special issue is to explore the research output in the enabling CPS technologies and their state-of-the-art approaches, introduce recent advances and show the potential of brain-inspired computing in CCPS. We encourage submitting comprehensive overviews/methodological approaches to brain-inspired learning and computing, with a focus on applications of interest to the CCPS.
We are looking for original (unpublished) research based on the above-mentioned theme, but not limited to:
• Design and challenges in building Cognitive Cyber-Physical Systems (CCPS)
• Brain-inspired computing architectures and models for CCPS
• Brain connectivity mapping and functional mapping on cyber security
• Security and privacy concerns of biometric recognition.
• Security of pattern recognition systems.
• Cognitive systems and robotics
• Insights from Neuroscience to brain-inspired signal processing
• Brain-computer interface
• Technology pillars for Industry 4.0
• Neuro-robotics systems
• Cyber-physical social systems
Artificial intelligence (AI), cognitive computing, machine learning, and brain-inspired computing are among the most trending research focus in cyber-physical systems (CPS). Brain inspiration computing leads to faster, more efficient threat detection in CPS. This has resulted in the development of brain-inspired computing algorithms including nature-inspired algorithms, genetic algorithms, swarm algorithms, and pattern recognition algorithms for addressing hard computational problems and CPS research challenges. Cognitive Cyber-Physical Systems (CCPS) are witnessing rapid transformation as an interdisciplinary technology that blends physical components and computing devices to enable AI-based solutions. CCPS integrate machine learning/AI with brain-inspired computing in creating smart systems. This era is witnessing a rapid transformation in digital technology and AI where brain-inspired computing-based solutions will play a vital role in industrial informatics. The application of CCPS with brain-inspired computing in Industry 4.0 will create a significant impact on industrial evolution. The industrial evolution such as smart household, medical systems, autonomous driving systems, and robotic systems use connected devices, data analytics, cloud computing, and artificial intelligence to automate the process further. These enabling technologies have the full capabilities to provide interoperability, information transparency, technical assistance, and decentralized decisions. The fifth Industrial Revolution is expected to pair humans and machines to further utilize human brainpower and creativity to increase process efficiency by combining workflows with intelligent systems. In Industry 5.0, robots will not only be a programmable machine but also will transform into an ideal human companion for some scenarios. With recent advancements in brain-inspired computing and AI, more realistic brain intelligence level algorithms will be created.
The purpose of this special issue is to explore the research output in the enabling CPS technologies and their state-of-the-art approaches, introduce recent advances and show the potential of brain-inspired computing in CCPS. We encourage submitting comprehensive overviews/methodological approaches to brain-inspired learning and computing, with a focus on applications of interest to the CCPS.
We are looking for original (unpublished) research based on the above-mentioned theme, but not limited to:
• Design and challenges in building Cognitive Cyber-Physical Systems (CCPS)
• Brain-inspired computing architectures and models for CCPS
• Brain connectivity mapping and functional mapping on cyber security
• Security and privacy concerns of biometric recognition.
• Security of pattern recognition systems.
• Cognitive systems and robotics
• Insights from Neuroscience to brain-inspired signal processing
• Brain-computer interface
• Technology pillars for Industry 4.0
• Neuro-robotics systems
• Cyber-physical social systems
