About this Research Topic
The objective of this Research Topic is to bridge near-sensor and in-sensor computing with brain-inspired computing to facilitate the development of a neuromorphic system that extracts, analyzes, and computes the sensory signals via an in-situ style, effectively boosting processing power and energy efficiency. Such integrated systems will find applications in low-power edge intelligent devices, where sensory data could be accessed swiftly to generate a decision without connecting to cloud. The near-sensor and in-sensor brain-inspired computing could be approached from multiple perspectives. At the sensory component level, novel visual sensors with light-adaptive and non-volatile responsivity could store information and compute within, reducing the cost for data transfer and conversion. At the signal processing level, circuits based on analogue and hybrid signals can be developed to remove or simplify ADC conversion process to keep good balance between computing precision and power consumption.
This Research Topic aims to bring together state-of-the-art interdisciplinary research in the above context including enabling technologies for brain-inspired in-sensor and near-sensor computing. Bio-inspired principles and engineering approaches for the fusion of intelligent sensing and computing are more than welcomed. Articles emphasizing emerging devices, circuits, architectures, algorithms and co-designs of these hierarchies will be welcomed, but will need to clearly link back to Brain-inspired Computing.
Topics of interests include but not limited to:
• Biomimetic architectures for modelling multi-modal perception and cognition neuromorphic systems
• Bio-inspired/Dedicated near/in-sensor computing circuits, architectures, algorithms, and systems
• Key workloads e.g., AI, database, graph processing, etc. taking advantage of near/in-sensor processing
• Near/in-sensor computing schemes for data management, on-chip routing and communication
• Advanced integration and packaging technologies facilitating near/in-sensor brain-inspired computing e.g., 2.5D/3D integration, chiplet, etc
• Benchmarking and workload analysis for near/in-sensor brain-inspired computing
• Issues and countermeasures for reliability, energy efficiency, fault tolerance, etc.
• EDA design and Simulation tools/platforms for near/in-sensor computing
• Multimodal sensory system integrated with artificial intelligence
• Emerging materials and devices for near/in-sensor brain-inspired computing
Keywords: Artificial Sensory and Computing Devices, Brain-inspired Computing, Bio-inspired perception and cognition, In-sensor Computing, Near-sensor Computing, Neural Circuit, Spiking Neural Network
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.