Sparse Convolutional Recurrent Learning for Efficient Event-base Neuromorphic Object Detection – Guangzhi Tang (Maastricht University) Sparse Convolutional Recurrent Learning for Efficient Event-base Neuromorphic Object Detection March 23, 2025• 236views 2025 NICE,Learning Approaches event-NICE,speaker-Tang-Guangzhi,year-2025 You may also like Half the measurements, twice the speed | Michael teti | 2019 March 28, 2019• 216views 2019 NICE,Neuromorphic Algorithms event-NICE,speaker-Teti-Michael,year-2019 00:25:20 What can AI learn from the brain? Past, Present and... March 23, 2025• 214views 2025 NICE,Generic Introductions event-NICE,org-CNRS,speaker-Thorpe-Simon,year-2025 E-prop: A biologically inspired paradigm for learning in... September 1, 2020• 210views 2020 SNUFA Workshop,Learning Approaches event-SNUFA,speaker-Scherr-Franz,year-2020 Simulating Dynap-SE1 | Yigit Demirag | 2021 March 19, 2021• 209views 2021 NICE,Software & Tools event-NICE,speaker-Demirag-Yigit,year-2021 00:43:32 Neuromorphic LLMs – Jason Eshraghian November 5, 2025• 209views 2025 SNUFA,Neuromorphic Algorithms event-SNUFA,speaker-Eshraghian-Jason,year-2025 «1…17181920212223…51»Page 20 of 51