Svea Marie Meyer
Papers
2
Total Citations
16
H-Index
2
About
Dr. Svea Marie Meyer is a pioneering researcher at the intersection of neuromorphic computing and robotic perception, with a focus on enabling ultra-efficient, low-latency AI systems. Her work centers on two key areas: monocular depth estimation for real-time robotics and streaming sequence processing on novel hardware architectures. In her highly cited 2023 paper, "Low-latency monocular depth estimation using event timing on neuromorphic hardware" (11 citations), she demonstrated how event-based cameras and neuromorphic chips can achieve depth perception with dramatically reduced latency—a critical advance for autonomous navigation and object interaction. More recently, her 2025 work, "A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing" (5 citations), tackles the unsustainable energy costs of deep learning by optimizing state space models for Intel’s Loihi 2 neuromorphic processor. This breakthrough shows how to process streaming data efficiently without relying on power-hungry GPUs. Dr. Meyer’s contributions are shaping the future of energy-efficient, real-time AI for robotics and edge computing, earning her recognition as a rising leader in neuromorphic systems and embodied intelligence.
Research Focus
Key Achievements
Top Papers
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