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DTSTART;VALUE=DATE:20250105
DTEND;VALUE=DATE:20250116
DTSTAMP:20260417T115821
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SUMMARY:Bangalore Neuromorphic Engineering Workshop
DESCRIPTION:Top-tier training awaits the next generation of researchers. Inspired by Telluride (est. 1993) and Capo Caccia (est. 2007)\, we aim to expand their legacy into Asia-Pacific. Our objective: equip individuals with essential neuromorphic engineering skills and foster global advancement. \n\nAim and Vision\nThe Bangalore Neuromorphic Engineering Workshop is designed to provide first-rate training to upcoming researchers in neuromorphic technologies\, building upon the legacy of influential workshops like Telluride and Capo Caccia\, these workshops have significantly contributed to the development of vibrant research communities in the US and Europe. Our goal is to replicate this success in the Asia-Pacific region. We aim to equip participants with advanced skills in neuromorphic engineering and to enhance the growth of this critical field on an international scale. \n\n\nNeuromorphic Engineering Origins\nOriginating from the innovative work of Carver Mead and Misha Mahowald at Caltech in the 1990s\, neuromorphic started with creating brain-like models of neural computation and sensing using traditional VLSI CMOS technologies. The field has expanded to include studies on new memory technologies\, development of large-scale spiking neural network chips for advanced computing\, and exploring theories of plasticity\, learning\, and both artificial and natural intelligence. \n\n\nIndustry and Academic Impact\nToday\, the field of neuromorphic engineering is experiencing widespread adoption by major corporations such as Samsung\, Sony\, Intel\, and IBM\, alongside significant support from governmental funding agencies. Recognized as a promising avenue for developing AI computing technologies\, neuromorphic approaches offer potential solutions to the inherent limitations and critical challenges faced by conventional computing systems and deep learning methodologies. By leveraging principles inspired by the brain’s architecture\, neuromorphic engineering endeavors to revolutionize the landscape of artificial intelligence\, paving the way for more efficient\, adaptive\, and intelligent computing systems. \n\nNeuromorphic Integrated Circuits (NIC25)\nExploring novel neuromorphic architectures\, circuits\, and hardware that could demonstrate neuromorphic performance advantages when compared to conventional computing architectures like central processing units (CPUs)\, graphical processing units (GPUs). \nTopic leaders – Shantanu Chakrabartty (Washington University St. Louis)\, Chetan Singh Thakur (IISc) \n\n\nEvent-based Sensing (EBS25)\nExplore the latest developments in neuromorphic sensors that mimic the human senses\, including dynamic vision sensors\, SCAMP\, neuromorphic radar\, olfactory sensors\, and more. These innovative sensors are transforming industries and applications by providing more efficient\, adaptive\, and human-like sensing capabilities\, enabling new possibilities for robotics\, autonomous systems\, healthcare\, and the Internet of Things (IoT). \nTopic leaders – Piotr Dudek (University of Manchester)\, Gregory Cohen (Western Sydney University) \n\n\nBrain-Computer Interfaces (BCI25)\nUnlock the potential of brain-computer interfaces through the application of neuromorphic principles\, innovative signal processing algorithms for real-time decoding\, and cutting-edge hardware development\, enabling faster and more accurate communication between the human brain and machines. \nTopic leaders – Arindam Basu (City University of Hong Kong)\, Pao-Sheng Vincent Sun (City University of Hong Kong)\, Sridhar Devarajan (Indian Institute of Science)
URL:https://www.neuropac.info/event/bangalore-neuromorphic-engineering-workshop/
LOCATION:Indian Institute of Science\, Bangalore\, Bangalore\, India
CATEGORIES:Workshop
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250124
DTEND;VALUE=DATE:20250125
DTSTAMP:20260417T115821
CREATED:20250205T091523Z
LAST-MODIFIED:20250205T091523Z
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SUMMARY:Neuromorphic Computing for Science
DESCRIPTION:Our brains consume around 20 Watts of power\, a negligible amount in comparison to the multi-million Watts consumed by supercomputers. The emerging paradigm of Neuromorphic Computing draws inspiration from the structure and functioning of the human brain\, particularly this small power consumption and extremely fast response times. \nJoin theoretical and computational physicist Johan Mentink as he presents evidence of why the neuromorphic computing paradigms offer not only much more energy-efficient but also much faster solutions to widely used computational science problems\, with the potential to break existing computational barriers. If you’re interested in the future of computing and how our brains have provided the blueprint\, then you don’t want to miss this event! \nThis event is in partnership with the Embassy of the Kingdom of the Netherlands.
URL:https://www.neuropac.info/event/neuromorphic-computing-for-science/
LOCATION:The Royal Institution\, 21 Albemarle Street\, London\, W1S 4BS\, United Kingdom
CATEGORIES:Talk
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