Excited to share CRISiSLab's latest publication in Nature Scientific Reports , where Danuka Ravishan leads a project exploring how ultra-lightweight deep learning models can enable real-time earthquake detection directly on low-cost, low-power, MEMS-based edge devices such as Raspberry Shake or similar. Citation: Ravishan, D., Prasanna, R., Herath, P. et al. Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand. Sci Rep 16 ,...

2023 was a great year for CRISiSLab as we hosted international interns and a research assistant. We had interns Adrian Durando from...

For our summer internship project, this year's CRISiSLab Challenge winners Mihir Rallapudi, Alex Vautier, and Brian Ngan from Wellington...