Inaugural Neuromorphic and Reconfigurable Computing Cluster Seminar
The Neuromorphic and Reconfigurable Computing Cluster at Queen’s University Belfast held its first seminar on 23 May, bringing together international experts in neuromorphic engineering, adaptive hardware, and brain-inspired artificial intelligence.
Prof. Alex James (Digital University Kerala), Prof. Qinyu Chen (Leiden University), and Dr. Peng Zhou (LuxiTech) delivered invited talks on diverse topics, ranging from crossbar-based mixed-signal neural architectures and variability-aware hardware design to neuromorphic vision systems and brain-inspired large language models for edge applications.
Prof. Alex James addressed reliability issues in memristive crossbar arrays, proposing circuit-level strategies to manage variability and parasitic effects. Prof. Qinyu Chen showcased a real-time spiking-based eye-tracking system for XR interfaces, illustrating the synergy between neural sensing and embedded intelligence. Dr. Peng Zhou shared his latest research on neuromorphic LLMs, emphasizing the need for efficient, deployable AI models that can operate on low-power platforms without sacrificing performance.
The seminar fostered active discussion across disciplines, connecting device-level innovation with high-level system design. Attendees exchanged ideas on memristor integration, hybrid computing architectures, and energy-efficient neuromorphic AI.
Reflecting on the event, the organising team noted:
“Bringing together experts from hardware, AI, and neuroscience communities allowed us to explore how brain-inspired systems can move beyond the limitations of traditional computing. We look forward to sharing more exciting activities from our cluster in the near future.”
Media
https://pure.qub.ac.uk/en/persons/xinming-shi/