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DTSTART;TZID=Europe/Zurich:20240115T180000
DTEND;TZID=Europe/Zurich:20240115T193000
DTSTAMP:20260418T153751
CREATED:20240105T080205Z
LAST-MODIFIED:20240105T080205Z
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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
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240117
DTEND;VALUE=DATE:20240120
DTSTAMP:20260418T153751
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zurich:20240125T180000
DTEND;TZID=Europe/Zurich:20240125T193000
DTSTAMP:20260418T153751
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
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