Neuromorphic Computing at the Edge
Spiking neural networks that compute efficiently and adapt to changing conditions, from simulation and learning algorithms to deployment on edge hardware.
Read about this research →Louisiana State University
AISx Edge Intelligence Lab
Intelligence at the edge, motivated by security applications.
The AISx Edge Intelligence Lab at Louisiana State University brings together modern deep learning and neuromorphic computing to advance edge intelligence, with a particular emphasis on security-driven applications.
Our work spans intelligent sensing for nuclear nonproliferation and cybersecurity, as well as spiking neural networks, ultra-low-power edge AI, and foundational research on neuromorphic training methods and architectural design.
Research
View research areas →Edge Intelligence for Cybersecurity
Local AI systems for cybersecurity analysis, digital forensics, and intrusion detection, alongside research on the security and reliability of edge AI itself.
Read about this research →Edge Intelligence for Nuclear Nonproliferation
Deep learning and neuromorphic methods for radiation detection, nuclear safeguards, remote sensing, and multimodal data fusion at the edge.
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Publications and research outputs
Papers, posters, software, datasets, and presentations from across the lab.
Browse publications →Research opportunities
Information for prospective graduate students, LSU undergraduates, and research collaborators.
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