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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
Panelists: Andrew Davidson, Imperial College, London Kostas Daniilidis, University of Pennsylvania Michael Milford, Queensland University of Technology Join the seminar: https://umd.zoom.us/j/93344217202 More information: https://www.neuropac.info/seminars/
Hosted by the Perception and Robotics Group Seminar Series on Robotics and Computer Vision at the University of Maryland. Abstract. Animals excel at a wide range behaviors, many of which are essential for Continue readingFrances Chance – Modeling Coordinate Transformations in Neural and Neuromorphic Systems
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.
Abstract: Neuromorphic hardware allows for fast and energy-efficient simulation of spiking neural networks. However, the usage of such devices is still a challenge, as it requires detailed knowledge about the Continue readingJannik Lubeoinski @ INRC – Brian2Lava: connecting the Brian 2 simulator to neuromorphic hardware
Title: Enhancing Performance and Efficiency of SNNs: From Spike-Based Loss Improvements to Synaptic Sparsification Techniques. Abstract: The introduction of offline training capabilities like Spike Layer Error Reassignment in Time (SLAYER) Continue readingMichael Jurado @ INRC – Enhancing Performance and Efficiency of SNNs
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
Title: "Revolutionizing Intelligence: Bridging Minds and Machines with Neuromorphic Computing" Abstract Neuromorphic event-driven systems emulate the computational mechanisms of the brain through the utilization of spiking neural networks (SNN). Neuromorphic Continue readingMahyar Shahsavari @ ELLIS MeetUp Nijmegen: Revolutionizing Intelligence
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
