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SUMMARY:INRC Forum: Kenneth Stewart
DESCRIPTION:Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing\nAbstract:Achieving real-time\, personalized intelligence at the edge with learning capabilities holds enormous promise to enhance our daily experiences and assist in decision-making\, planning\, and sensing. Yet\, today’s technology encounters difficulties with efficient and reliable learning at the edge\, due to a lack of personalized data\, insufficient hardware\, and the inherent challenges posed by online learning. Over time and across multiple developmental phases\, the brain has evolved to incorporate new knowledge by efficiently building on previous knowledge. We seek to emulate this remarkable process in digital neuromorphic technology through two interconnected stages of learning.\nInitially\, a meta-training phase fine-tunes the learning hardware’s hyperparameters for few-shot learning by deploying a differentiable simulation of three-factor learning in a neuromorphic chip. This meta-training process refines the synaptic plasticity and related hyperparameters to align with the specific dynamics inherent in the hardware and the given task domain. During the subsequent deployment stage\, these optimized hyperparameters enable accurate learning of new classes using the local three-factor synaptic plasticity updates.\nWe demonstrate our approach using event-driven vision sensor data and the Intel Loihi neuromorphic processor and the associated plasticity dynamics\, achieving state-of-the-art accuracy in learning new categories in one-shot in real-time among three task domains. Our methodology is versatile and can be applied to situations demanding quick learning and adaptation at the edge\, such as navigating unfamiliar environments or learning unexpected categories of data through user engagement. \nBio: Kenneth Stewart is a final year Ph.D. candidate in Computer Science at the University of California\, Irvine advised by professors Emre Neftci\, Nikil Dutt\, and Jeffery Krichmar. Throughout his Ph.D. Kenneth has investigated adaptive learning algorithms with Spiking Neural Networks that can be applied in Neuromorphic hardware for online\, on-chip learning. During his Ph.D. Kenneth has published several papers in the area and was a candidate for the IEEE AICAS’20 best paper award. In addition to papers\, Kenneth co-authored patents regarding adaptive edge learning for gesture and speech recognition applications with the Accenture Future Tech Lab. Kenneth is one of the leading members of Neurobench’s Few-shot Online Learning initiative trying to motivate further research into the area. After earning his degree at the end of the Summer Kenneth hopes to scale up his research to apply it to real-world problems. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-kenneth-stewart/
LOCATION:Online
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DTSTART;VALUE=DATE:20230611
DTEND;VALUE=DATE:20230614
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CREATED:20230129T222826Z
LAST-MODIFIED:20230129T222826Z
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SUMMARY:International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2023
DESCRIPTION:The entire world and in particular China are massively investing in AI. China is hosting large ecosystems in AI\, as well as numerous conferences. Most of these activities are software oriented. Top universities\, academies\, and institutes are bringing support to motivate scientists to contribute. IEEE AICAS 2023 is intended to fill the hardware large gap. \nAICAS 2023 is currently planned as a hybrid event with in-person presentations along with an option for remote attendees. Speakers should plan to present in person at AICAS 2023. The safety of our speakers and audience remains a priority concern. We will monitor global pandemic conditions and update and adjust the conference format if needed. \nThe venue is in Hangzhou\, which is an ancient city with a history of 2200 years and one of the seven ancient capitals in China. It is located 200 km from Shanghai. Hangzhou is the center of science\, education\, and culture of Zhejiang Province\, and is a key national tourism city. Hangzhou is also renowned as “A Paradise on the Earth”\, with its West Lake scenic area widely known\, which is one of the most attractive tourism regions in China. \nThe AICAS’23 conference will be held in one of the best 5-star hotels in the center of the city\, and within a walking distance to the subway. The region would offer choices of cinemas\, supermarket\, restaurants and entertainment as well.
URL:https://www.neuropac.info/event/international-conference-on-artificial-intelligence-circuits-and-systems-aicas-2023/
LOCATION:Hangzhou\, Hangzhou\, China
CATEGORIES:Conference
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