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SUMMARY:Business Administration Info Session
DESCRIPTION:Strong business skills are the key to success.\nJoin our live virtual discussion to explore how our courses and expert instructors can help you build a versatile and successful career in business. \nWe’ll talk about business leadership essentials and management science as well as practical skills crucial for everyday business operations and strategies. Our curriculum is uniquely designed to provide you with the competitive tools you need for career success. \nHighlights\n\nInsights into emerging trends in business\, such as AI\, and their impact on job opportunities.\nNetworking opportunities with industry professionals and experienced instructors.\nComprehensive overview of our Business Administration Certificate Program.\n\nThis is a great opportunity to understand how new business skills can inform your leadership style for today’s dynamic business environment. \nSponsor\nThis info session is sponsored by the UCSC Silicon Valley Professional Education Business Administration certificate program. \nRegister today.
URL:https://events.ucsc.edu/event/business-administration-info-session/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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SUMMARY:Zhu\, R. (ECE) -  From Neuromorphic Principles to Efficient Neural Language Architectures
DESCRIPTION:While Large Language Models exhibit remarkable capabilities\, their reliance on the standard Transformer architecture imposes prohibitive computational costs and quadratic memory complexity. To bridge the gap between biological efficiency and high-performance AI\, we have established foundational work in linearizing attention and maximizing hardware utilization through architectures such as RWKV and MatMul-Free networks. Addressing the remaining bottlenecks in long-term memory consolidation and optimization stability\, we propose a research roadmap focused on “In-Place Test-Time Training” (TTT) to enable compositional memory via dynamic weight updates\, and the Muon optimizer to stabilize deep reasoning through orthogonal gradient updates. Ultimately\, this work aims to unify neuromorphic principles with scalable deep learning to enable robust performance in resource-efficient environments. \nEvent Host: Ridger Zhu\, Ph.D. Student\, Electrical and Computer Engineering  \nAdvisor: Jason Eshraghian \nZoom- https://ucsc.zoom.us/j/95241268060?pwd=WDMgDWhhSyXNh8NZpBDvgpbcMVbvUz.1 \nPasscode- 256794
URL:https://events.ucsc.edu/event/ridger-z-ece-from-neuromorphic-principles-to-efficient-neural-language-architectures/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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