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DTSTART;VALUE=DATE:20231210
DTEND;VALUE=DATE:20231217
DTSTAMP:20260414T170609
CREATED:20231103T143805Z
LAST-MODIFIED:20231103T143805Z
UID:10000253-1702166400-1702771199@www.neuropac.info
SUMMARY:NeurIPS 2023
DESCRIPTION:Conference on Neural Information Processing Systems (NeurIPS) 2023\nNeurIPS 2023 will be held again at the at the New Orleans Ernest N. Morial Convention Center.\n\n\n\nThe conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks\, demonstrations\, symposia\, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice\, a series of tutorials\, and topical workshops that provide a less formal setting for the exchange of ideas.
URL:https://www.neuropac.info/event/neurips-2023/
LOCATION:New Orleans\, New Orleans\, LA\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231211
DTEND;VALUE=DATE:20231214
DTSTAMP:20260414T170609
CREATED:20231006T163033Z
LAST-MODIFIED:20231006T163033Z
UID:10000247-1702252800-1702511999@www.neuropac.info
SUMMARY:NeuroEng Workshop @ Western Sydney University
DESCRIPTION:The International Centre for Neuromorphic Systems welcomes NeuroEng Association members and guests to join in a 3-day workshop focusing on computational neuroscience and neuromorphic engineering as well providing a valuable platform for networking and collaboration. \nHosted at the newly refurbished St George Sailing Club\, attendees will be treated to sensational waterfront views of the Georges River and the pristine beaches of the Sans Souci and Botany Bay region – a hidden gem known to locals. Furthermore\, guests can enjoy a number of local accommodation options as well as an array of activities in the area. \nPrepare for a workshop that combines cutting-edge knowledge sharing with the serenity of a beach setting. We look forward to welcoming you to the 2023 ICNS NeuroEng Workshop! \nCall for abstracts until October 31st\, 2023.
URL:https://www.neuropac.info/event/neuroeng-workshop-western-sydney-university/
LOCATION:St George Sailing Club\, 2 Riverside Drive\, Sans Souci\, Sydney\, NSW\, Australia
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231213T060000
DTEND;TZID=Europe/Berlin:20231213T080000
DTSTAMP:20260414T170609
CREATED:20231130T123001Z
LAST-MODIFIED:20231130T123015Z
UID:10000271-1702447200-1702454400@www.neuropac.info
SUMMARY:Kade Heckel @ ONM - Neuromorphic Hackathon with Spyx
DESCRIPTION:From the open-neuromorphic.org website: \nJoin 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 network library\, and gain insights into the latest developments in neuromorphic frameworks. The session will cover Spyx’s utilization of memory and GPU to maximize training throughput\, along with discussions on the evolving landscape of neuromorphic computing. \nDon’t miss this opportunity to engage with experts\, collaborate on cutting-edge projects\, and explore the potential of Spyx in shaping the future of neuromorphic computing. Whether you’re a seasoned developer or just curious about the field\, this event promises valuable insights and hands-on experience. \nAgenda: \n\n18:00 – 19:00: Spyx Introduction\n\nDive into Spyx\, its features\, and how to contribute\nHands-on session: Explore Spyx functionalities and tackle real-world challenges\nQ&A and collaborative discussions\n\n\n19:00 – 20:00: Hackathon\n\nCollaborate on cutting-edge projects and explore the potential of Spyx\nQ&A and collaborative discussions\n\n\n\nSpeakers: \n\nKade Heckel\n\nNote: The event will be hosted virtually. Stay tuned for the video link and further updates. Let’s come together to push the boundaries of neuromorphic computing!
URL:https://www.neuropac.info/event/kade-heckel-onm-neuromorphic-hackathon-with-spyx/
LOCATION:Online
CATEGORIES:Talk,Tutorial,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231219T180000
DTEND;TZID=Europe/Berlin:20231219T193000
DTSTAMP:20260414T170609
CREATED:20231103T152925Z
LAST-MODIFIED:20231103T152925Z
UID:10000265-1703008800-1703014200@www.neuropac.info
SUMMARY:Brad Aimone @ ONM - Programming Scalable Neuromorphic Algorithms With Fugu
DESCRIPTION:From the Open Neuromorphic website \nExplore neural-inspired computing with Brad Aimone\, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.
URL:https://www.neuropac.info/event/brad-aimone-onm-programming-scalable-neuromorphic-algorithms-with-fugu/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240115T180000
DTEND;TZID=Europe/Zurich:20240115T193000
DTSTAMP:20260414T170609
CREATED:20240105T080205Z
LAST-MODIFIED:20240105T080205Z
UID:10000272-1705341600-1705347000@www.neuropac.info
SUMMARY:Cristian Axenie @ ONM - Hybrid Learning for Event-Based Visual Motion Detection and Tracking of Pedestrians
DESCRIPTION: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 the day and especially at night in order to implement safety measures. \nThe current study introduces an award-winning low-power solution employing neuromorphic visual sensing and hybrid neuro-statistical processing developed by the Technische Hochschule Nürnberg team for the TinyML Vision Zero San Jose Competition. The solution proposes a novel neuromorphic edge fusion of spiking neural networks and event-based expectation maximization for the detection and tracking of pedestrians and bicyclists. \nWe provide a deployment-ready evaluation of the detection performance along with robustness\, energy footprint\, and weatherization while emphasizing the advantages of the neuro-statistical edge solution and its city-level scaling capabilities. \n\n\nAbout the Speaker\nDr. Axenie is Professor of Artificial Intelligence and Research Group Leader in Cognitive Neurocomputing at the Technische Hochschule Nürnberg Georg Simon Ohm in Germany. \nAfter earning a Dr. Eng. Sc. in Neuroscience and Robotics from the Technical University of Munich in 2016\, Dr. Axenie joined the Huawei Research Center in Munich. Between 2017 and 2023 Dr. Axenie was Staff Research Engineer with Huawei Research Center. At the same time\, Dr. Axenie was the Principal Investigator and Head of the Audi Konfuzius-Institut Ingolstadt Laboratory at the Technische Hochschule Ingolstadt. \nDr. Axenie is a seasoned researcher with more than 15 years of academic research and more than 10 years of industrial research experience. His research was disseminated in more than 50 peer-reviewed publications and more than 10 patents. Currently Dr. Axenie focuses on sustainable and efficient deployment of intelligent algorithms for sensor fusion and closed-loop control.
URL:https://www.neuropac.info/event/cristian-axenie-onm-hybrid-learning-for-event-based-visual-motion-detection-and-tracking-of-pedestrians/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240117
DTEND;VALUE=DATE:20240120
DTSTAMP:20260414T170609
CREATED:20231103T145351Z
LAST-MODIFIED:20231103T145351Z
UID:10000258-1705449600-1705708799@www.neuropac.info
SUMMARY:HiPEAC 2024
DESCRIPTION:19th International Conference on High Performance\, Edge And Cloud computing\nThe HiPEAC conference is the premier European forum for experts in computer architecture\, programming models\, compilers and operating systems for embedded and general-purpose systems. \nThe 19th HiPEAC conference will take place in Munich\, Germany from Wednesday 17 to Friday 19 January\, 2024. Associated workshops\, tutorials\, special sessions\, several large poster sessions and an industrial exhibition will run in parallel with the conference. The three-day event attracts over 500+ delegates each year. \nTopics of interest include\, but are not limited to:\n· Processor\, memory\, interconnect\, and storage architectures\n· Parallel\, multi-core and heterogeneous systems\n· Interconnection networks\n· Architectural support for programming productivity\n· Power\, performance and implementation efficient designs\n· Reliability and real-time support in processors\, compilers and run-time systems\n· Application-specific processors\, accelerators and reconfigurable processors\n· Architecture and programming environments for GPU-based computing\n· Architectural simulation and methodology\n· Architectural and run-time support for programming languages\n· Programming models\, frameworks and environments for exploiting parallelism\n· Program characterization and analysis techniques\n· Dynamic compilation\, adaptive execution\, and continuous profiling/optimization\n· Binary translation/optimization\n· Code size/memory footprint optimizations\n· Architectures for emerging technologies such as neuromorphic\, photonics\, quantum\, etc.\n· Machine learning applied to the above\n· Computing systems research from application studies
URL:https://www.neuropac.info/event/hipeac-2024/
LOCATION:Munich\, Munich\, Germany
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240125T180000
DTEND;TZID=Europe/Zurich:20240125T193000
DTSTAMP:20260414T170609
CREATED:20240105T080357Z
LAST-MODIFIED:20240105T080357Z
UID:10000273-1706205600-1706211000@www.neuropac.info
SUMMARY:Carlos Ortega-Otero @ ONM - IBM NorthPole: Neural Inference at the Frontier of Energy\, Space\, and Time
DESCRIPTION:Abstract \nComputing\, 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 blurs this boundary by eliminating off-chip memory\, intertwining compute with memory on-chip\, and appearing externally as an active memory chip. NorthPole is a low-precision\, massively parallel\, densely interconnected\, energy-efficient\, and spatial computing architecture with a co-optimized\, high-utilization programming model. \nOn the ResNet50 benchmark image classification network\, relative to a graphics processing unit (GPU) that uses a comparable 12-nanometer technology process\, NorthPole achieves a 25 times higher energy metric of frames per second (FPS) per watt\, a 5 times higher space metric of FPS per transistor\, and a 22 times lower time metric of latency. Similar results are reported for the Yolo-v4 detection network. \nNorthPole outperforms all prevalent architectures\, even those that use more-advanced technology processes. \nAbout the Speaker \n\n\n\n\n\nDr. Carlos Ortega-Otero is an Sr. Research Staff Member at IBM driven by a passion in Circuit Design\, Neuromorphic Chip Architectures\, Low-Power Circuits and Physical Design optimizations. He earned his Ph.D. from Cornell University under the guidance of Prof. Rajit Manohar. \nThroughout his career\, he has worked in groundbreaking projects\, including Ultra-Low Power Asynchronous Sensor Network nodes\, Medical Implantable Wireless Sensors\, The TrueNorth Brain-Inspired Chip\, and the NorthPole Project. At IBM\, Carlos works under the leadership of Dr. Dharmendra Modha in the Brain-Inspired Computing Group. \nHe plays key roles in Architecture\, Specification\, Digital Implementation\, Physical Design\, Timing Signoff\, and Manufacturing teams of the NorthPole Project. Carlos is proud to be part of the Brain-Inspired Computing Group at IBM that continues to shape the future of Integrated Circuits and AI.
URL:https://www.neuropac.info/event/carlos-ortega-otero-onm-ibm-northpole-neural-inference-at-the-frontier-of-energy-space-and-time/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240205T180000
DTEND;TZID=Europe/Zurich:20240205T200000
DTSTAMP:20260414T170609
CREATED:20240105T080554Z
LAST-MODIFIED:20240105T080554Z
UID:10000274-1707156000-1707163200@www.neuropac.info
SUMMARY:Jens E. Pedersen @ ONM - NIR: A Unified Instruction Set for Brain-Inspired Computing
DESCRIPTION:Have you wondered how to use neuromorphic hardware platforms? \nAre you depressed by your power bill after you bought your >400W GPU rig? \nThen you came to the right place! \nIn this workshop\, we will show you how to move models from your favourite framework directly to neuromorphic hardware with 1-2 lines of code! We will present the technology behind\, the Neuromorphic Intermediate Representation \, and demonstrate how we can use it to run a live spiking convnet on the Speck chip. \nNIR is currently supported by Intel Loihi \, Speck \, SpiNNaker2 \, Xylo and a host of simulators\, including Norse \, snnTorch \, and Spyx . \nJoin us on the 5th of February to get your own hands-on experience with NIR and neuromorphic hardware! \nAll it requires is a computer and a bit of Python knowledge. \nAgenda: \n\n18:00 – 19:00: NIR introduction\n\nMotivation: coupling neuromorphic hardware and software\nDemonstrating NIR: from PyTorch to Speck\nQ&A\n\n\n19:00 – 20:00: Workshop\n\nHands-on experience with NIR via Jupyter Notebooks or custom models\nQ&A and collaborative discussions\n\n\n\nSpeakers: \n\nJens E. Pedersen \, PhD at the Neurocomputing Systems lab at KTH Royal Institute of Technology\, Sweden\n\nNote: The event will be hosted virtually. Stay tuned for the video link and further updates. \n\n\n\n\n\nAbout the Speaker\nJens is a computer scientist studying his PhD in neuromorphic computing at the KTH Royal Institute of Technology. Jens co-authored the Norse simulator and the AEStream event-based streaming library.
URL:https://www.neuropac.info/event/jens-e-pedersen-onm-nir-a-unified-instruction-set-for-brain-inspired-computing/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240207T160000
DTEND;TZID=Europe/Amsterdam:20240207T170000
DTSTAMP:20260414T170609
CREATED:20240130T002332Z
LAST-MODIFIED:20240130T002332Z
UID:10000278-1707321600-1707325200@www.neuropac.info
SUMMARY:Mahyar Shahsavari @ ELLIS MeetUp Nijmegen: Revolutionizing Intelligence
DESCRIPTION:Title:\n“Revolutionizing Intelligence: Bridging Minds and Machines with Neuromorphic Computing” \nAbstract\nNeuromorphic event-driven systems emulate the computational mechanisms of the brain through the utilization of spiking neural networks (SNN). Neuromorphic systems serve two primary application domains: simulating neural information processing in neuroscience and acting as accelerators for cognitive computing in engineering applications.\nIn this seminar\, we delve into the core principles of neuromorphic paradigm. Mahyar will discuss how this innovative approach addresses the limitations of traditional AI models in computation\, ushering in a new era of efficiency\, adaptability\, and parallel processing.\nThe presentation highlights key advancements\, such as spiking neural networks and neuromorphic hardware\, demonstrating their pivotal role in achieving brain-like computation and real-time processing. In this seminar the potential applications in industry\, robotics\, edge computing and beyond will be discussed\, ultimately inviting the audience to envision a harmonious integration of minds and machines through the revolutionary lens of neuromorphic computing. \nMicrosoft Teams Seminar Link
URL:https://www.neuropac.info/event/mahyar-shahsavari-ellis-meetup-nijmegen-revolutionizing-intelligence/
LOCATION:Nijmegen\, Nijmegen\, Netherlands
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240220
DTEND;VALUE=DATE:20240228
DTSTAMP:20260414T170609
CREATED:20231103T151303Z
LAST-MODIFIED:20231103T151303Z
UID:10000261-1708387200-1709078399@www.neuropac.info
SUMMARY:AAAI 2024
DESCRIPTION:38th Annual AAAI Conference on Artificial Intelligence\nThe purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers\, practitioners\, scientists\, students\, and engineers across the entirety of AI and its affiliated disciplines. AAAI-24 will feature technical paper presentations\, special tracks\, invited speakers\, workshops\, tutorials\, poster sessions\, senior member presentations\, competitions\, and exhibit programs\, and a range of other activities to be announced. \nWe expect for AAAI-24 to be an in-person conference – one author of all accepted papers will be expected to present work in person unless there are exceptional circumstances that prevent this. \n\n \n\n\n\n\n\n\nDriven by its disciplinary diversity\, AAAI has incubated numerous AI sub-disciplines and conferences and has nurtured for decades the cohesion of AI. New communities often emerge when two or more disciplines come together in order to explore new opportunities and perspectives; today\, both are plentiful. The purpose of this year’s Bridge Program is to tap into new sources of innovation by cultivating collaboration between two or more communities directed towards a common goal. Our interpretation of bridges is broad and encompasses disciplines within and outside of AI. Hence\, the communities that our Bridge Program is intended to bring together could be distinct subfields of AI\, such as planning and learning\, or different disciplines that contribute to and benefit from AI\, such as AI and the humanities.
URL:https://www.neuropac.info/event/aaai-2024/
LOCATION:Vancouver\, Canada\, Vancouver\, Canada
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240221
DTEND;VALUE=DATE:20240224
DTSTAMP:20260414T170609
CREATED:20231103T145110Z
LAST-MODIFIED:20231103T145110Z
UID:10000257-1708473600-1708732799@www.neuropac.info
SUMMARY:Neuronics 2024
DESCRIPTION:Neuronics Conference 2024\nBrain-inspired neuromorphic computing has emerged as a promising solution to overcome the computation bottlenecks in artificial intelligence (AI) applications. However\, traditional CMOS technologies\, which heavily relied on silicon\, face significant challenges such as volatility and energy inefficiency. These obstacles have hindered the rapid progress in the field. Thankfully\, recent developments in novel memory and memristive technologies\, have revitalized the pursuit of efficient and high-performance neuromorphic computing systems. \nThis conference aims to present the current status and cutting-edge advancements in the development of neuromorphic devices that emulate biological neural processes through device physics. A particular focus will be placed on memristive technologies as a promising devices for implementing various neuromorphic functions\, including artificial synapses\, neurons\, and dendrites. The different material platforms include conjugated polymers\, hydrogels\, nonmetal oxides\, correlated oxides\, transition metal oxides (TMOs)\, chalcogenides\, carbon-based materials\, phase change\, ferroelectric materials\, piezoelectric materials\,magnetics materials\, fluidics\, and nanocomposites. \nThe conference will also highlight the emerging fields of bioinspired ionotronics and mixed ionic-electronic-photonic materials. These areas focus on leveraging ionic motion and arrangement to control electronic properties and functions\, enabling the development of various functional devices. Topics of discussion will include electrolyte gating as an alternative to chemical doping\, organic and halide perovskites transistors\, various types of memristors\, ionic channels\, and their implications in the advancement of neuromorphic computing. \nResearchers will showcase circuits demonstrating full neuromorphic functionality\, such as unsupervised learning\, pattern recognition in neural networks\, and the neuroscientific aspects of artificial intelligence. Moreover\, the conference will explore the advancements in programmed/directed self-assembly and stimuli-responsive systems\, as well as their applications in smart sensing systems. These systems encompass a wide range of applications\, including optical sensing\, temperature sensing\, gas sensing\, strain sensing\, and more. The conference will also delve into haptic systems\, biosensors\, and image sensors\, exploring their integration with neuromorphic computing paradigms. \nThe conference will address the listed topics in an holistic view and joining together an interdisciplinary community from different research fields\, such as electronic\, materials science\, nanotechnology\, engineering\, computer science\, neurobiology\, computational neuroscience\, neural and biomedical-engineering. \nJoin us at this conference to engage in insightful discussions\, share knowledge\, and explore the exciting possibilities that brain-inspired neuromorphic computing and device physics offer for the future of artificial intelligence and computing systems.
URL:https://www.neuropac.info/event/neuronics-2024/
LOCATION:Valencia\, Valencia\, Spain
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240227T180000
DTEND;TZID=Europe/Zurich:20240227T193000
DTSTAMP:20260414T170609
CREATED:20240105T080743Z
LAST-MODIFIED:20240308T111522Z
UID:10000275-1709056800-1709062200@www.neuropac.info
SUMMARY:Aaron Spieler @ ONM - The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks
DESCRIPTION:From the Open Neuromorphic website. \nBiological cortical neurons are remarkably sophisticated computational devices\, temporally integrating their vast synaptic input over an intricate dendritic tree\, subject to complex\, nonlinearly interacting internal biological processes. \nWith the aim to explore the computational implications of leaky memory units and nonlinear dendritic processing\, we introduce the Expressive Leaky Memory (ELM) neuron model\, a biologically inspired phenomenological model of a cortical neuron. Remarkably\, by exploiting a few such slowly decaying memory-like hidden states and two-layered nonlinear integration of synaptic input\, our ELM neuron can accurately match the aforementioned input-output relationship with under ten-thousand trainable parameters. \nWe evaluate the model on various tasks with demanding temporal structures\, including the Long Range Arena (LRA) datasets\, as well as a novel neuromorphic dataset based on the Spiking Heidelberg Digits dataset (SHD-Adding). The ELM neuron reliably outperforms the classic Transformer or Chrono-LSTM architectures on these tasks\, even solving the Pathfinder-X task with over 70% accuracy (16k context length). \n\n\n\n\n\nAbout the Speaker\nAaron Spieler is a computational neuroscientist passionate about exploring the intersection of deep learning and neuroscience. After earning his Bachelor’s in Computer Science from the University of Potsdam\, he undertook an extended internship at Amazon Web Services working in deep learning based forecasting\, before further specializing with a Master’s in Computational Neuroscience at the University of Tübingen. Throughout his Master’s thesis and a subsequent internship at the Max Planck Institute for Intelligent Systems\, Aaron focused on phenomenological neuron modeling with applications to long-range prediction tasks. Pursuing this work allowed him to collaborate with excellent researchers from diverse backgrounds\, including Prof. Bernhard Schölkopf and Prof. Anna Levina.
URL:https://www.neuropac.info/event/aaron-spieler-onm-the-elm-neuron-an-efficient-and-expressive-cortical-neuron-model-can-solve-long-horizon-tasks/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240305T180000
DTEND;TZID=Europe/Berlin:20240305T193000
DTSTAMP:20260414T170609
CREATED:20240130T001106Z
LAST-MODIFIED:20240308T111533Z
UID:10000277-1709661600-1709667000@www.neuropac.info
SUMMARY:Maxence Ernoult @ ONM: Accelerating Neuromorphic Inference and Training at the Edge @ Rain
DESCRIPTION:From the Open Neuromorphic website. \n\n\nMaxence 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 algorithm aspects with an emphasis on why physical and mathematical principles matter more to him than biological inspiration. \n\n\n\n\n\nAbout the Speaker\nMaxence Ernoult graduated from Ecole Polytechnique and the University of Cambridge in 2016\, specializing in applied mathematics and theoretical physics. His PhD research was conducted in neuromorphic computing at Sorbonne University\, in collaboration with Mila. During this time\, he specialized in developing hardware-friendly alternatives to backpropagation and played a significant role in scaling up several of these alternatives\, including Equilibrium Propagation and Difference Target Propagation. This work was undertaken alongside notable figures such as Ben Scellier\, Blake Richards\, and Yoshua Bengio. In 2021\, Maxence joined IBM Research\, focusing on AI safety. Subsequently\, in 2022\, he began a new position at Rain.
URL:https://www.neuropac.info/event/maxence-ernoult-onm-accelerating-neuromorphic-inference-and-training-at-the-edge-rain/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240326
DTEND;VALUE=DATE:20240329
DTSTAMP:20260414T170609
CREATED:20240316T233432Z
LAST-MODIFIED:20240316T234415Z
UID:10000284-1711411200-1711670399@www.neuropac.info
SUMMARY:Neuromorphic technology: a giant leap for AI
DESCRIPTION:This event will convene a community of researchers and innovators working on cutting-edge neuromorphic hardware and brain-inspired algorithms. This is an AI UK Fringe event supported by the Alan Turing Institute. \nWhile the transformative potential of neuromorphic technology for the future of AI and computing has gained recognition in the USA National AI R&D Strategic Plan\, a similar community has only recently taken root in the UK. To secure UK leadership in this strategically important technology requires urgent attention. Recognizing this imperative\, Innovate UK’s Horizon Scanning team has embarked on the task of consolidating UK neuromorphic research and innovation. The proposed event aims to catalyze and amplify these efforts\, fostering collaboration and knowledge exchange within a broad neuromorphic stakeholder community. Loughborough University is one of the key research centres in this field\, having a track record of hosting three recent world-leading neuromorphic workshops and established a diverse network both within the UK and across the globe. \nRegister via: this form
URL:https://www.neuropac.info/event/neuromorphic-technology-a-giant-leap-for-ai/
LOCATION:Online
CATEGORIES:Symposium,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240418T230000
DTEND;TZID=Europe/Berlin:20240419T003000
DTSTAMP:20260414T170609
CREATED:20231103T153206Z
LAST-MODIFIED:20240428T080746Z
UID:10000267-1713481200-1713486600@www.neuropac.info
SUMMARY:Tobias Fischer @ ONM - Advances in Neuromorphic Visual Place Recognition
DESCRIPTION:From the Open Neuromorphic website. \nAbout the Speaker\nTobias conducts interdisciplinary research at the intersection of intelligent robotics\, computer vision\, and computational cognition. My main goal is to develop high-performing\, bio-inspired computer vision algorithms that simultaneously examine animals/humans and robots’ perceptional capabilities. He is a Lecturer (Assistant Professor) in Queensland University of Technology’s Centre for Robotics. He joined the Centre as an Associate Investigator and Research Fellow in January 2020. Previously\, he was a postdoctoral researcher in the Personal Robotics Lab at Imperial College London. He received a PhD from Imperial College in January 2019. His thesis was awarded the UK Best Thesis in Robotics Award 2018 and the Eryl Cadwaladr Davies Award for the best thesis in Imperial’s EEE Department in 2017-2018. He previously received an M.Sc. degree (distinction) in Artificial Intelligence from The University of Edinburgh in 2014 and a B.Sc. degree in Computer Engineering from Ilmenau University of Technology\, Germany\, in 2013. His works have attracted two best poster awards\, one best paper award\, and he was the senior author of the winning submission to the Facebook Mapillary Place Recognition Challenge 2020.
URL:https://www.neuropac.info/event/tobias-fischer-onm-advances-in-neuromorphic-visual-place-recognition/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240422
DTEND;VALUE=DATE:20240426
DTSTAMP:20260414T170609
CREATED:20231103T143242Z
LAST-MODIFIED:20231103T143242Z
UID:10000251-1713744000-1714089599@www.neuropac.info
SUMMARY:IEEE AICAS 2024
DESCRIPTION:The 6th IEEE International Conference on\nArtificial Intelligence Circuits and Systems (IEEE AICAS 2024)\nKhalifa University\, Abu Dhabi\, UAE | April 22-25\, 2024\nPaper Submission | Registration \nArtificial Intelligence (AI) is driving a revolution in information technology as well as in many industries. New computing paradigms are required to support the emerging AI algorithms and applications\, running on a diversity of platforms\, from edge devices to cloud servers and from circuit level to system level. Addressing this challenge and opportunity\, the AICAS conference has been established as the premier conference of the IEEE Circuits and Systems Society to promote and facilitate state-of-the-art research\, innovation\, and development activities at the frontiers of artificial intelligence circuits and systems. It serves as an excellent platform allowing world scholars\, technology researchers\, and industry to exchange experiences\, demonstrate their studies\, and further advance AI circuits and systems technologies.
URL:https://www.neuropac.info/event/ieee-aicas-2024/
LOCATION:Khalifa University\, Abu Dhabi\, United Arab Emirates
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240423
DTEND;VALUE=DATE:20240427
DTSTAMP:20260414T170609
CREATED:20231103T142949Z
LAST-MODIFIED:20231103T142949Z
UID:10000250-1713830400-1714175999@www.neuropac.info
SUMMARY:NICE 2024
DESCRIPTION:Neuro Inspired Computational Elements Conference (NICE) 2024\n\n\n\n\n\nNICE’2024 will be held in La Jolla\, California\, USA on April 23-26\, 2024. \n\nTuesday\, 23 April 2024 – Thursday\, 25 April 2024 for the main workshop\nFriday\, 26 April 2024 for the parallel hands-on tutorials\n\nAt this conference\, we will: \n\nPresent applications that are looking for solutions that are beyond the capabilities of current computational systems\,\nHighlight technical approaches that are at the early to middle stages of development for new computational systems\,\nIdentify pathways and resources to accelerate the development of these new systems.\n\nAttendance: 200-250 from neuroscience\, systems\, microelectronics\, applications\, potential funding agencies. \n\n\n\n\n\nVenue in La Jolla\nThe venue is Scripps Seaside Forum right on the beach for three days of inspiring keynotes and lectures\, interactive posters\, and live demonstrations\, with an extra day of illuminating tutorials at the nearby UC San Diego Institute for Neural Computation. \nSee the NICE 2024 venue information page for a map and a list of hotels offering special conditions for NICE attendants. \n\n\n\n\n\nA lot of NICE talks are available in the NICE YouTube channel.
URL:https://www.neuropac.info/event/nice-2024/
LOCATION:La Jolla\, California\, La Jolla\, CA\, United States
CATEGORIES:Conference,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240428
DTEND;VALUE=DATE:20240513
DTSTAMP:20260414T170609
CREATED:20240105T081216Z
LAST-MODIFIED:20240105T081343Z
UID:10000276-1714262400-1715558399@www.neuropac.info
SUMMARY:CapoCaccia 2024: Workshop toward Neuromorphic Intelligence
DESCRIPTION:Theme for 2024: “Do robots dream of evolving sheep?”\nDuring the last couple of years we have experienced groundbreaking advances in AI. Transformer architectures are revolutionizing the way we deal with today’s vast amount of available data\, and are having a massive impact in our society. Despite these advancements\, AI systems still fall short of replicating the most basic yet highly sophisticated capabilities inherent in biological organisms: the effortless ability to sense\, navigate and interact efficiently with our environment. \nIn this workshop we will center our discussions on exploring which bio-inspired principles could be incorporated into neuromorphic “brains” to successfully guide future robots in noisy and unpredictable environments. Towards the end of the workshop we will revolve around one of the most fundamental distinctions between biological organisms and current AI systems: that biological intelligence emerges in the absence of any external designer. Biological brains evolved sophisticated algorithms to build themselves into powerful computational devices. Will this be the key to the future of robotics?. \nThe mission of the CapoCaccia Workshops for Neuromorphic Intelligence is to understand the principles of biological intelligence and apply this knowledge in technologies\, for the good of all mankind.\nThe workshop features open and highly interactive discussion sessions in the morning; hands-on projects\, tutorials\, and hardware and software jamming sessions during the day; and free-form discussions in the evenings. \nThe workshop is open to everyone\, but since resources are limited\, we can accept only a limited number of registrations. Due to the limited number of hotel rooms\, Ph.D. students are expected to pair up and share rooms. All participants are encouraged to stay for the full two week period\, but can stay for less if necessary. \nParticipants are expected to use their own sources of funding to pay their travel\, accommodation\, and registration expenses. \n\n\n\nThe registration will be open from Jan 08 until Jan 31\, 2024.
URL:https://www.neuropac.info/event/capocaccia-2024-workshop-toward-neuromorphic-intelligence/
LOCATION:Alghero\, Sardinia\, Italy\, Alghero\, Sardinia\, Italy
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240430
DTEND;VALUE=DATE:20240501
DTSTAMP:20260414T170609
CREATED:20240219T093217Z
LAST-MODIFIED:20240219T093217Z
UID:10000281-1714435200-1714521599@www.neuropac.info
SUMMARY:ICONS 2024 Paper Deadline
DESCRIPTION:CALL FOR PAPERS: International Conference on Neuromorphic Systems (ICONS) 2024\nImportant Dates:\nApril 30\, 2024: Submissions due \nMay 15\, 2024: Reviews due \nJune 6\, 2024: Decision notification \nJuly 30-August 2\, 2024: Conference \nWith the looming end of the “Moore’s Law” era\, there is an emerging challenge to “create a new type of computer that can proactively interpret and learn from data\, solve unfamiliar problems using what it has learned\, and operate with the energy efficiency of the human brain.” \nNeuromorphic computing will play a major role in this challenge and has the potential to transform the way we use computers through new materials\, new brain-inspired chips\, greater understanding of neuroscience\, and breakthroughs in machine understanding/intelligence. Neuromorphic computing systems have the potential to mimic the functionality of neural systems in the brain\, which we believe will lead to more powerful and efficient computing paradigms. The goal of this conference is to bring together leading researchers in neuromorphic computing to present new research\, develop new collaborations\, and provide a forum to publish work in this area. \nRESEARCH PAPERS ARE REQUESTED FOR TOPICS ON NEUROMORPHIC COMPUTING\, SPECIFICALLY IN FOUR FOCUS AREAS:\n\nSystems\, architectures\, and circuits\n\nNetwork\, neuron\, and synapse models\nNon-von Neumann computing architectures and models\nEmerging devices and hardware implementations\nEvent or spike-based systems\nNeuromorphic circuits\nNovel brain-inspired system architectures\n\n\nMachine intelligence algorithms for programming or training neuromorphic devices\n\nSupervised\, unsupervised and self-supervised learning methods\nBiologically-inspired algorithms\nAdaptations to existing algorithms for use on or with neuromorphic systems\n\n\nApplications for and use-cases of neuromorphic systems\n\nApplications where neuromorphic systems have the potential to outperform state-of-the-art techniques\nSuggestions for benchmark tasks for neuromorphic computing\nNeuromorphic datasets\n\n\nSupporting software and systems for neuromorphic systems\n\nEfficient simulation techniques for hardware and large-scale networks\nCompilers and programming frameworks\nVisualization tools\n\n\n\nNote: Submissions outside the scope of these areas\, including materials science and neuroscience\, will also be considered (especially for lightning talks and posters)\, although they are not the focus of this conference. \nWE ARE ACCEPTING SUBMISSIONS IN THE FOLLOWING FORMATS:\n\nFull papers (6-8 pages)\, which will be considered for full (20 minute) presentations. Full papers should present original research and will be included in the conference proceedings. The page limit includes references\, appendix and any other material that would accompany the paper.\nShort papers (3-4 pages)\, which will be considered for full presentations and/or lightning talks. Short papers can be position papers or present preliminary results and will be included in the conference proceedings. The page limit includes references\, appendix and any other material that would accompany the paper.\nExtended abstracts (1 page) for lightning talks and/or poster presentations. Extended abstracts will not be included in the conference proceedings.\nTutorial submissions (2-3 pages) for 1-2 hour tutorial sessions. Tutorials should include a hands-on component for tutorial attendees to work on or interact with neuromorphic software or hardware. Tutorials should be led by no more than three facilitators. Unlike paper and abstract submissions\, tutorial submissions should be submitted via email to Melika Payvand and Maryam Parsa at melika [at] ini.uzh.ch and mparsa [at] gmu.edu.\nSpecial session submissions (2-3 pages) for 1-2 hour special sessions. Special sessions should include invited presentations on a specific topic. Special session submissions will not be included in the conference proceedings. Unlike paper and abstract submissions\, special session submissions should be submitted via email to Melika Payvand and Maryam Parsa at melika [at] ini.uzh.ch and mparsa [at] gmu.edu\n\nProgram Co-Chairs:\nMelika Payvand\, Institute of Neuroinformatics\, University of Zurich and ETH Zurich \nMaryam Parsa\, George Mason University \nSubmission Website: Coming soon
URL:https://www.neuropac.info/event/icons-2024-paper-deadline/
LOCATION:Online
CATEGORIES:Conference,Deadline
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240504T110000
DTEND;TZID=America/New_York:20240504T121500
DTSTAMP:20260414T170609
CREATED:20240428T081014Z
LAST-MODIFIED:20240428T081014Z
UID:10000285-1714820400-1714824900@www.neuropac.info
SUMMARY:Sangyeob Kim @ ONM - C-DNN and C-Transformer: Mixing ANNs and SNNs for the Best of Both Worlds
DESCRIPTION:From the Open Neuromorphic website. \nSangyeob 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 processor. Subsequently\, they have applied C-DNN not only to image classification but also to other applications\, and have developed the C-Transformer\, which applies this technique to a Large Language Model (LLM). As a result\, they demonstrate that the energy consumed in LLM can be reduced by 30% to 72% using the C-DNN technique\, compared to the previous state-of-the-art processor. In this talk\, we will introduce the processor developed for C-DNN and C-Transformer\, and discuss how neuromorphic computing can be used in actual applications in the future. \n\n\nAbout the Speaker\nSangyeob Kim (Student Member\, IEEE) received the B.S.\, M.S. and Ph.D. degrees from the School of Electrical Engineering\, Korea Advanced Institute of Science and Technology (KAIST)\, Daejeon\, South Korea\, in 2018\, 2020 and 2023\, respectively. He is currently a Post-Doctoral Associate with the KAIST. His current research interests include energy-efficient system-on-chip design\, especially focused on deep neural network accelerators\, neuromorphic hardware\, and computing-in-memory accelerators.
URL:https://www.neuropac.info/event/sangyeob-kim-onm-c-dnn-and-c-transformer-mixing-anns-and-snns-for-the-best-of-both-worlds/
LOCATION:Online
CATEGORIES:Talk,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240506
DTEND;VALUE=DATE:20240508
DTSTAMP:20260414T170609
CREATED:20240308T112507Z
LAST-MODIFIED:20240308T112507Z
UID:10000283-1714953600-1715126399@www.neuropac.info
SUMMARY:Morpheus 2024: ESA workshop on Edge AI and Neuromorphic hardware accelerators
DESCRIPTION:From the emerging needs identified by ESA and Satellites Primes\, the workshop as a main goal\, will focus on establishing the contour of a future AI accelerator and define the associated roadmap. By gathering Satellites Primes\, IP providers\, Researchers and other key players\, the workshop also aims at leveraging interest and creating synergies in Europe and beyond.
URL:https://www.neuropac.info/event/morpheus-2024-esa-workshop-on-edge-ai-and-neuromorphic-hardware-accelerators/
LOCATION:ESTEC\, Keplerlaan 1\, Noordwijk\, 2201 AZ\, Netherlands
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240507
DTEND;VALUE=DATE:20240510
DTSTAMP:20260414T170609
CREATED:20231103T151712Z
LAST-MODIFIED:20231103T151712Z
UID:10000263-1715040000-1715299199@www.neuropac.info
SUMMARY:ACM CF 2024
DESCRIPTION:21th ACM International Conference on Computing Frontiers (CF’ 24)\nThe 21st ACM International Conference on Computing Frontiers (CF’24) will take place May 7th – 9th\, 2024 in Ischia\, Naples\, Italy. Participation is in-person only. \nComputing Frontiers (CF) is an eclectic\, interdisciplinary\, collaborative community of researchers investigating emerging technologies in the broad field of computing: our common goal is to drive the scientific breakthroughs that support society. \nCF’s broad scope is driven by recent technological advances in wide-ranging fields impacting computing\, such as novel computing models and paradigms\, advancements in hardware\, network and systems architecture\, cloud computing\, novel device physics and materials\, new application domains of artificial intelligence\, big data analytics\, wearables\, and IoT. The boundaries between the state-of-the-art and revolutionary innovation constitute the advancing frontiers of science\, engineering\, and information technology — and are the CF community’s focus. CF provides a venue to share\, discuss\, and advance broad\, forward-thinking\, early research on the future of computing and welcomes work on a wide spectrum of computer systems\, from embedded and hand-held/wearable devices to supercomputers and data centers.
URL:https://www.neuropac.info/event/acm-cf-2024/
LOCATION:Ischia\, Naples\, Italy\, Naples\, Italy
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240507
DTEND;VALUE=DATE:20240512
DTSTAMP:20260414T170609
CREATED:20231103T144429Z
LAST-MODIFIED:20231103T144429Z
UID:10000255-1715040000-1715471999@www.neuropac.info
SUMMARY:ICLR 2024
DESCRIPTION:12th International Conference on Learning Representations (ICLR) 2024\n\n\n\n\nThe International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning\, but generally referred to as deep learning. \nICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence\, statistics and data science\, as well as important application areas such as machine vision\, computational biology\, speech recognition\, text understanding\, gaming\, and robotics. \nParticipants at ICLR span a wide range of backgrounds\, from academic and industrial researchers\, to entrepreneurs and engineers\, to graduate students and postdocs. \nA non-exhaustive list of relevant topics explored at the conference include: \n\nunsupervised\, semi-supervised\, and supervised representation learning\nrepresentation learning for planning and reinforcement learning\nrepresentation learning for computer vision and natural language processing\nmetric learning and kernel learning\nsparse coding and dimensionality expansion\nhierarchical models\noptimization for representation learning\nlearning representations of outputs or states\noptimal transport\ntheoretical issues in deep learning\nsocietal considerations of representation learning including fairness\, safety\, privacy\, and interpretability\, and explainability\nvisualization or interpretation of learned representations\nimplementation issues\, parallelization\, software platforms\, hardware\nclimate\, sustainability\napplications in audio\, speech\, robotics\, neuroscience\,  biology\, or any other field
URL:https://www.neuropac.info/event/iclr-2024/
LOCATION:Vienna\, Vienna\, Austria
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240515
DTEND;VALUE=DATE:20240518
DTSTAMP:20260414T170609
CREATED:20240308T112242Z
LAST-MODIFIED:20240308T112242Z
UID:10000282-1715731200-1715990399@www.neuropac.info
SUMMARY:Neuromorphic Computing Meets Quantum Mechanics
DESCRIPTION:Human brains possess computational capacity far superior to any digital computer. This functionality is endowed by synapse\, a small 30 nm junction that allows two nerve cells to communicate. This communication (synaptic action) occurs via changes in charge concentrations that modify the transmission of an electrical signal across the synapse. Replicating this synaptic architecture and communication artificially would be a critical step toward building computers that emulate brain-like performance minimizing energetic costs\, or neuromorphic computing. Various materials and physical phenomena based on classical physics have been explored to utilize intrinsic materials physics to enable energy-efficient computation by replicating the functionalities of biological neurons and synapses. Merging insights from brain-inspired hardware and software with quantum phenomena and quantum technologies\, could unlock a new era of information processing. Quantum technologies based on unitary dynamics are inherently dissipationless and have the potential to further reduce energy costs\, in addition to the reductions offered by neuromorphic computing. \nThe conference “Neuromorphic Computing Meets Quantum Mechanics” is poised to facilitate the convergence of researchers from three cutting-edge domains: neuromorphic computing\, quantum technologies\, and artificial intelligence. This unique platform aims to inspire collaborative interaction among experts in neuromorphic computing\, encompassing both hardware and software\, specialists in quantum materials and quantum optics theory and experiments\, and experts in deep learning and artificial general intelligence (AGI). By bringing these fields together\, the conference seeks to facilitate discussion and collaboration towards the development of quantum-enhanced neuromorphic hardware capable of surpassing classical von Neumann architectures for AGI-oriented computing. This visionary conference will host talks and brainstorming sessions centered on the transformative potential of utilizing quantum phenomena and materials to reshape the landscape of neuromorphic computing for AGI. The conference aims to inspire discussions on novel approaches\, paving the way for new technologies at linking AGI and quantum computing. Join us in charting a path towards a future where quantum mechanics converges with neuromorphic computing\, redefining the possibilities of AGI. \n 
URL:https://www.neuropac.info/event/neuromorphic-computing-meets-quantum-mechanics/
LOCATION:University of Georgia\, Athens\, GA\, 30602\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240519
DTEND;VALUE=DATE:20240523
DTSTAMP:20260414T170609
CREATED:20231103T143503Z
LAST-MODIFIED:20231103T143503Z
UID:10000252-1716076800-1716422399@www.neuropac.info
SUMMARY:IEEE ISCAS 2024
DESCRIPTION:IEEE International Symposium on Circuits and Systems (ISCAS)\nMay 19-22 2024\, Singapore\nResorts World Convention Centre\nSubmission Site \n\nThe IEEE International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier forum for researchers in the active fields of theory\, design and implementation of circuits and systems. \nISCAS 2024 is inspired by the theme “circuits and systems for sustainable development”\, which is perfectly aligned with the host city’s goal. \n\nTechnical lecture and poster sessions.\nSpecial sessions.\nTutorials and workshops.\nPublication of conference proceedings and journal special issues.\n\nThe symposium highlights a wide range of innovatition themes including: Artificial Intelligence and Deep Learning\, Smart Systems for Automotive\, Brain: Innovation Neurotechnologies\, Intelligent Cyber Security Systems\, Food Security and Climate Change\, Ultra Low Power Circuits and Systems. \n\n\nISCAS 2024’s special initiatives include: Emerging Technologies Workshops on Information Security\, Climate Change\, and GeronCAS; Cross-Society Special Sessions which is co-organized by CASS and other IEEE societies/councils\, on recent attractive themes for cross-disciplinary collaboration; and Special Sections in IEEE Transactions (invited publication in TCAS-I\, TCAS-II\, TBioCAS). (Details on Journal Special Issue) \nThe CAS Society will celebrate the 75th anniversary in ISCAS 2024.
URL:https://www.neuropac.info/event/ieee-iscas-2024/
LOCATION:Singapore Resorts World Convention Centre\, Singapore\, Singapore
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240602
DTEND;VALUE=DATE:20240615
DTSTAMP:20260414T170609
CREATED:20240130T002517Z
LAST-MODIFIED:20240130T002517Z
UID:10000279-1717286400-1718409599@www.neuropac.info
SUMMARY:Nengo Summer School
DESCRIPTION:The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. As a recurring special feature of the school\, participants will be given on-site access to neuromorphic hardware\, including Stanford’s mixed digital/analog chipBraindrop\, the SpiNNaker chip\, and a variety of FPGAs. \nIn addition to teaching participants to run applications on neuromorphic hardware using the Nengo simulation package\, this two-week school will teach participants to use Nengo to build state-of-the-art cognitive and neural models. More generally\, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems\, and has been used to build what is currently the world’s largest functional brain model\, Spaun\, which includes spiking deep learning\, reinforcement learning\, adaptive motor control\, and cognitive control networks. \nWe welcome applications from all interested graduate students\, postdocs\, professors\, and industry professionals. No specific training in the use of modelling software is required\, but we encourage applications from active researchers with a relevant background in psychology\, neuroscience\, cognitive science\, computer science\, robotics\, neuromorphic engineering\, or a related field. More information about Nengo\, the Neural Engineering Framework\, and Spaun can be found athttps://www.nengo.ai/. Many of the concepts to be covered are in this book. \nPurpose: The main goal of the summer school is to have participants learn to build state-of-the-art neural or cognitive models using Nengo. Participants are encouraged to bring their own ideas for projects\, which may focus on testing hypotheses\, modelling neural or cognitive data\, implementing specific behavioural functions with neurons\, expanding past models\, or provide a proof-of-concept of various neural mechanisms. Projects can be focused on software\, hardware\, or a combination of both. \nApproach: Discussions during the school will help shape projects\, develop new collaborations\, and generate new ideas for projects. Participants will have the opportunity to learn how to: \n\nuse Nengo to program neuromorphic hardware systems\, including Loihi!\nintegrate machine learning methods into biologically oriented models\ninterface Nengo with cameras and robotic systems of various kinds\nbuild perceptual\, motor\, and cognitive models with spiking neurons\nsimulate large-scale models at a variety of levels of detail concurrently\nmodel anatomical and electrophysiological data\nmodel cognitive and behavioural data with a detailed neural model\nuse a variety of single cell models within a large-scale model\nuse your favorite simulator\, e.g. NEST\, Brian\, Neuron\, etc.\nimplement modern non-linear control methods in a neural model\nand much more …\n\nFormat: The first few days of the summer school will be be devoted to in-depth tutorials on using Nengo for neural and cognitive modelling. The rest of summer school will be devoted primarily to project work\, with a variety of faculty guest lectures and optional tutorials scheduled throughout. A project demonstration and evening banquet will be held on the last day\, with a variety of prizes for strong projects! The complete schedule and list of guest lecturers will be announced at a later date.
URL:https://www.neuropac.info/event/nengo-summer-school/
LOCATION:University of Waterloo\, Waterloo\, Ontario\, Canada
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240603
DTEND;VALUE=DATE:20240607
DTSTAMP:20260414T170609
CREATED:20231011T111322Z
LAST-MODIFIED:20231011T111339Z
UID:10000248-1717372800-1717718399@www.neuropac.info
SUMMARY:International Conference on Neuromorphic Computing and Engineering
DESCRIPTION:See event website for more details: https://www.icnce-2024.de/
URL:https://www.neuropac.info/event/international-conference-on-neuromorphic-computing-and-engineering/
LOCATION:Eurogress Aachen\, Lousberg Park Area (near historical city center)\, Aachen\, Germany
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240616
DTEND;VALUE=DATE:20240621
DTSTAMP:20260414T170609
CREATED:20231103T151604Z
LAST-MODIFIED:20231103T151604Z
UID:10000262-1718496000-1718927999@www.neuropac.info
SUMMARY:ICAISC 2024
DESCRIPTION:The 23rd International Conference on Artificial Intelligence and Soft Computing ICAISC 2024 will be held in Zakopane (situated in the High Tatra mountains)\, Poland in June 16-20\, 2024 in Bachleda Kasprowy Zakopane Hotel. The conference will provide an excellent opportunity for scientists and engineers to present and discuss the latest scientific results and methods. The conference will include keynote addresses\, contributed papers\, and numerous lectures and tutorials on a wide range of topics. The Conference will be held in the hybrid mode: online and on-site in Zakopane. The authors of accepted papers will have a choice to present their papers on-line\, or on site in Zakopane\, Mercury Kasprowy Hotel\, Poland. All accepted papers\, irrespective of the presentation mode\, will be included in the LNAI conference proceedings.
URL:https://www.neuropac.info/event/icaisc-2024/
LOCATION:Zakopane\, Poland\, Zakopane\, Poland
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240617
DTEND;VALUE=DATE:20240622
DTSTAMP:20260414T170609
CREATED:20231103T144605Z
LAST-MODIFIED:20231103T144605Z
UID:10000256-1718582400-1719014399@www.neuropac.info
SUMMARY:IEEE/CVF CVPR 2024
DESCRIPTION:The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024\n\n\n\n\nThe IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.   With its high quality and low cost\, it provides an exceptional value for students\, academics and industry researchers.
URL:https://www.neuropac.info/event/ieee-cvf-cvpr-2024/
LOCATION:Seattle\, Seattle\, WA\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240630
DTEND;VALUE=DATE:20240706
DTSTAMP:20260414T170609
CREATED:20231103T142626Z
LAST-MODIFIED:20231103T142626Z
UID:10000249-1719705600-1720223999@www.neuropac.info
SUMMARY:IJCNN @ WCCI 2024
DESCRIPTION:The IEEE World Congress on Computational Intelligence\nIEEE WCCI 2024 is the world’s largest technical event on computational intelligence\, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN)\, the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC). \nIEEE WCCI 2024 will be held in Yokohama\, Japan. Yokohama is a city that inspires academic fusion and multidisciplinary & industrial association. The Yokohama area boasts a number of universities\, institutes and companies of advanced information technology\, electronics\, robotics\, mobility\, medicine and foods. \nIEEE WCCI 2024 held in this area will strongly inspire the attendees to imagine next-generation science and technology as the fusion of AI\, physiology and psychology as well as a cooperation with intelligence-related industries. \n\n\n\nIJCNN 2024 \n\n\n\nThe International Joint Conference on Neural Networks (IJCNN) covers a wide range of topics in the field of neural networks\, from biological neural networks to artificial neural computation. \n\n\n\n\n\n\n\n\nIEEE CEC 2024 \n\n\n\nThe IEEE Congress on Evolutionary Computation (IEEE CEC) covers all topics in evolutionary computation from theory to real-world applications. \n\n\n\n\n\n\n\n\nFUZZ-IEEE 2024 \n\n\n\nThe IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) covers all topics in fuzzy systems from theory to real-world applications.
URL:https://www.neuropac.info/event/ijcnn-wcci-2024/
LOCATION:Yokohama\, Japan\, Yokohama\, Japan
CATEGORIES:Conference
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