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DTSTART;TZID=America/Los_Angeles:20251124T104000
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DTSTAMP:20260406T152042
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SUMMARY:ECE 290 Seminar: Fundamental Nanopower Analog Circuits
DESCRIPTION:Presenter: Joey Sankman\, Analog/Power Designer\, Analog Devices \nDescription: With the rising interest in edge computing\, and the addition of AI/ML functionality\, nanopower circuits are in great demand to reduce the quiescent power consumption of remote sensors. In this tutorial\, fundamental building blocks for nanopower circuits will be covered\, including startup-less low-voltage references\, low-frequency clocks\, and LDO regulators. Attendees can expect a deep dive into fundamental and practical analog techniques to design nanopower systems. \nBio: Joey Sankman received the B.S. degree from the University of Arizona\, Tucson\, AZ\, and Ph.D. degree from the University of Texas at Dallas\, TX in electrical engineering in 2010 and 2014\, respectively. At the University of Texas at Dallas\, his research included energy harvesting circuits and systems as well as high-performance switch mode power converters. He is currently an analog/power designer at Analog Devices\, Principal Member of Technical Staff\, working on automotive PMICs. Previously\, he was an Analog R&D Engineer working on audio amplifiers\, ultra-low power circuits\, and radhard gate drivers at Kilby Labs\, TI\, Dallas\, TX. He was the recipient of the U.S. National Science Foundation Graduate Research Fellowship and the 2011 Texas Instruments/Semiconductor Research Corporation Graduate Fellowship. He has authored or co-authored 20 publications in various IEEE journals and conferences. He currently serves on the IEEE ISSCC power subcommittee. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom Link: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-fundamental-nanopower-analog-circuits/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20251124T160000
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DTSTAMP:20260406T152043
CREATED:20251105T172921Z
LAST-MODIFIED:20251105T172921Z
UID:10005096-1764000000-1764003600@events.ucsc.edu
SUMMARY:AM Seminar: Linear Stochastic Emulators of the Ocean Circulation based on Balanced Truncation: A Caution\, perhaps\, for Machine Learning?
DESCRIPTION:Presenter: Professor Andy Moore\, UCSC Ocean Sciences \nDescription: Linear inverse models have enjoyed considerable popularity in the geosciences\, particularly in the arena of climate research and climate prediction\, for several decades as a straightforward approach to dimension reduction and streamlining computational efficiency. The most common approach is to truncate the system by retaining the leading Empirical Orthogonal Functions (EOFs) which represent the left singular vectors of the transition matrix. While singular value decomposition is the best low rank approximation of the transition matrix\, ignoring information contained in the right singular vectors\, as is commonly done in linear inverse models\, has consequences for the dynamics that approximate the system. Dimension reduction based on balanced truncation simultaneously preserves information from the right and left singular vectors. This talk will review some of these ideas and present examples from the ocean. Since EOF decomposition is quite commonly used for dimension reduction in some machine learning approaches\, there may be some lessons here for the machine learning community to consider. \nBio: Professor at UCSC since 2016. \nHosted by: Professor Julie Simons
URL:https://events.ucsc.edu/event/am-seminar-linear-stochastic-emulators-of-the-ocean-circulation-based-on-balanced-truncation-a-caution-perhaps-for-machine-learning/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20251125T134000
DTEND;TZID=America/Los_Angeles:20251125T150000
DTSTAMP:20260406T152043
CREATED:20251108T002503Z
LAST-MODIFIED:20251120T174503Z
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SUMMARY:Macroeconomics & International Finance Seminar Series Presents: Helen Popper
DESCRIPTION:Macroeconomics and International Finance Seminar\nDate: Tuesday\, November 25\, 2025\nTime: 1:40-3:00 p.m.\nLocation: E2-499\n\n \n\nSpeaker: Helen Popper\nTitle: Professor of Economics\nAffiliation: Santa Clara University \nHost: Galina Hale\n \nSeminar title:  Artificial Intelligence and Macroeconomic Dynamics: Growth\, Pricing\, and Distribution\n \nABSTRACT:  This paper builds a simple general equilibrium model in which an AI producer is a monopolist who both learns by doing and uses AI recursively as an input. These mechanisms link today’s scale to tomorrow’s costs\, so pricing is dynamic: the firm sets a price below the static monopoly benchmark to expand capacity and speed learning. Final goods are produced by monopolistic competitors with constant returns to scale each period. We first use Cobb–Douglas technologies to solve for a generalized balanced growth path that pins down the condition for stable\, nonexplosive growth. On this path\, AI output grows faster than final output\, the relative price of AI falls persistently\, real wages rise with overall output\, and the specialized–to–nonspecialized wage ratio is flat. We then analyze CES versions of both sectors and derive a closed form effective demand elasticity for AI that combines input substitution in production with final-goods market substitution across varieties. Finally\, simulations link adoption and distribution to elasticities\, and they allow us to explore the dynamics. When final-goods inputs are complements\, adoption is learning-first and capital-light before scaling; when they are substitutes\, adoption is scale-first and the two-phase pattern attenuates. On the distribution side\, the specialized–to–nonspecialized wage premium is lowest with complements and rises with substitutes. Greater substitutability in AI production amplifies these patterns without changing their sign.
URL:https://events.ucsc.edu/event/macroeconomics-international-finance-seminar-series-presents-helen-popper/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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