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Bio: Trevor Bekolay’s primary research interest is in learning and memory. In his Master’s degree, he explored how to do supervised, unsupervised, and reinforcement learning in networks of biologically plausible Continue readingNengo – Applied Brain Research
Bio: Giorgia Dellaferrera has completed her PhD in computational neuroscience at the Institute of Neuroinformatics (ETH Zurich and the University of Zurich) and IBM Research Zurich with Prof. Indiveri, Prof. Continue readingGiorgia Dellaferrera: PEPITA – A forward-forward alternative to backpropagation
Bio: Jason K. Eshraghian is an Assistant Professor at the Department of Electrical and Computer Engineering at UC Santa Cruz, CA, USA. Prior to that, he was a Post-Doctoral Researcher Continue readingHands-on session with snnTorch
Speaker bio: Gregor Lenz graduated with a Ph.D. in neuromorphic engineering from Sorbonne University. He thinks that technology can learn a thing or two from how biological systems process information. Continue readingHands-on session with Sinabs and Speck
Speaker bio: Dylan Muir is the Vice President for Global Research Operations; Director for Algorithms and Applications; and Director for Global Business Development at SynSense. Dr. Muir is a specialist Continue readingHands-on session with Xylo and Rockpool
Abstract Every agent, whether animal or robotic, needs to process its visual sensory input in an efficient way, to allow understanding of, and interaction with, the environment. The process of Continue readingGiulia D’Angelo: What’s catching your eye? The visual attention mechanism
From the Open Neuromorphic website Join us for a workshop with Timoleon Moraitis, research group leader in neuromorphic computing, at the interface of computational neuroscience with artificial intelligence.
From the open-neuromorphic.org website: Join us on December 13th for an exciting Spyx hackathon and ONM talk! Learn how to use and contribute to Spyx , a high-performance spiking neural Continue readingKade Heckel @ ONM – Neuromorphic Hackathon with Spyx
From the Open Neuromorphic website Explore neural-inspired computing with Brad Aimone, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.
The Vision Zero Program’s purpose is to reduce traffic-related fatalities and serious injuries while promoting equitable, safe, and healthy mobility for all. Ultimately, the challenge is to detect pedestrians during Continue readingCristian Axenie @ ONM – Hybrid Learning for Event-Based Visual Motion Detection and Tracking of Pedestrians
Abstract Computing, since its inception, has been processor-centric, with memory separated from compute. Inspired by the organic brain and optimized for inorganic silicon, NorthPole is a neural inference architecture that Continue readingCarlos Ortega-Otero @ ONM – IBM NorthPole: Neural Inference at the Frontier of Energy, Space, and Time
Have you wondered how to use neuromorphic hardware platforms? Are you depressed by your power bill after you bought your >400W GPU rig? Then you came to the right place! Continue readingJens E. Pedersen @ ONM – NIR: A Unified Instruction Set for Brain-Inspired Computing
From the Open Neuromorphic website. Biological cortical neurons are remarkably sophisticated computational devices, temporally integrating their vast synaptic input over an intricate dendritic tree, subject to complex, nonlinearly interacting internal Continue readingAaron Spieler @ ONM – The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks
From the Open Neuromorphic website. Maxence will present us Rain’s vision and technological roadmap to build hardware optimized for inference and training at the edge including both the hardware and Continue readingMaxence Ernoult @ ONM: Accelerating Neuromorphic Inference and Training at the Edge @ Rain
From the Open Neuromorphic website. About the Speaker Tobias conducts interdisciplinary research at the intersection of intelligent robotics, computer vision, and computational cognition. My main goal is to develop high-performing, Continue readingTobias Fischer @ ONM – Advances in Neuromorphic Visual Place Recognition
From the Open Neuromorphic website. Sangyeob and his team have developed a C-DNN processor that effectively processes object recognition workloads, achieving 51.3% higher energy efficiency compared to the previous state-of-the-art Continue readingSangyeob Kim @ ONM – C-DNN and C-Transformer: Mixing ANNs and SNNs for the Best of Both Worlds
Ramashish Gaurav (Ram) is a 3rd year Ph.D. student at Virginia Tech, USA. He is supervised by Prof. Yang (Cindy) Yi in her BRICC Lab, ECE @ VT. Of late, Continue readingONM Student Talk: Ram Gaurav @ Virginia Tech
Description: An incredible opportunity to lead a foundational project in the neuromorphic ecosystem! Gregor Lenz, co-founder of Open Neuromorphic and creator of Tonic, is passing the torch to a new Continue readingTonic: Deep Dive & Maintainer Transition Workshop
