Multimodal Sensory Intelligence
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 64
Special Issue Editors
Interests: artificial intelligence (AI); augmented reality (AR); real-time imaging technologies
Special Issues, Collections and Topics in MDPI journals
Interests: multisensor data fusion; sensing and perception; 3D vision and recognition
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; virtual and augmented reality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For decades, research and development have aimed to convert data to information (what, when, where, and who), to knowledge (how), and to insight (why). Current AI models mainly focus on training and testing with massive data, which is an oversimplified model of learning. In nature, multimodal sensing is a part of intelligence fundamental to all creatures. It is the capacity to sense a target, be aware of the situation, and adapt to changes. The basic algorithms include sensor fusion, signal registration, visualization, interaction, and reasoning. Multimodal sensory intelligence is a missing piece of the puzzle in today’s generative AI and deep learning paradigms that has a broader impact on autonomous systems, human-robot interaction, and cyber-physical systems. We anticipate that sensory intelligence will require less data, be faster in execution, adapt to changes, and be simpler in algorithms, with reasoning in qualitative physics and semantic or visual explanations. And overall, it will be able to solve the problems that prevailing data science cannot.
In this Special Issue, we present a collection of state-of-the-art research and development work in sensory intelligence.
You may choose our Joint Special Issue in AI Sensors.
Yang Cai
Mel Siegel
Scott Ledgerwood
Guest Editors
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Keywords
- multimodal sensory intelligence
- novel sensor fusion algorithms
- biologically inspired sensory computing
- sensing and reasoning
- novel sensing modes
- human perception and simulation
- animal perception and simulation
- cyber-physical sensing
- cyber-physical systems
- sensing and adaptation
- self-healing
- survivability of sensory systems
- sensory intelligence theory
- energy harvesting for in vivo sensors
- nano-scale sensing and interaction
- sensing and discovery
- self-evolving sensors
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