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DTSTART;TZID=America/Los_Angeles:20261009T103000
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DTSTAMP:20260923T210757Z
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SUMMARY:SF Tech Week AI Frontier Summit: Intelligence at Scale - Agents\, Physical AI & Chips
DESCRIPTION:AI Frontier Summit 2026 brings together AI founders\, researchers\, investors\, and industry leaders to examine how the next generation of intelligent systems is being built—from autonomous agents and physical AI to infrastructure innovations integrating GPUs\, memory\, photonics\, and interconnect technologies. The summit connects technical breakthroughs with real-world deployment\, business strategy\, and investment opportunities. \nWhat You’ll Explore • Chips\, infrastructure\, memory\, photonics\, interconnect\, security\, and the AI supply chain • Agentic AI moving toward reliable production systems and self-improved systems • Physical AI\, Robotics\, embodied intelligence development • Curated startup demonstrations and high-value ecosystem connections \nRegister at  bit.ly/ai-frontier
URL:https://events.ucsc.edu/event/sf-tech-week-ai-frontier-summit-intelligence-at-scale-agents-physical-ai-chips/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Conference,Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261010T093000
DTEND;TZID=America/Los_Angeles:20261011T173000
DTSTAMP:20260928T230033Z
CREATED:20260923T210910Z
LAST-MODIFIED:20260928T230033Z
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SUMMARY:SF Tech Week Hackathon @ UCSC SVC
DESCRIPTION:One weekend. One room. Three tracks: Robotics\, Cloud AI\, and Local AI. Build something real with AI — alongside students\, engineers\, founders\, and neighbors from across the Bay Area. Bring an idea\, a laptop\, and a willingness to ship. We’ll provide the rest: mentors\, models\, meals\, and a stage to demo what you made. Open to students\, career switchers\, hobbyists\, and anyone curious about building with AI. No prior experience required. Registration closes Sept 30 and is limited and on a first-come\, first-served basis. See hack.dev for more details. This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. \n 
URL:https://events.ucsc.edu/event/sf-tech-week-hackathon-ucsc-svc/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Competition
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261012T160000
DTEND;TZID=America/Los_Angeles:20261012T170000
DTSTAMP:20261002T234422Z
CREATED:20261002T233926Z
LAST-MODIFIED:20261002T234422Z
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SUMMARY:CITRIS Aviation Prize Information Session
DESCRIPTION:Join us for a virtual info session on the 2026–27 CITRIS Aviation Prize\, an exciting multi-campus student competition inviting teams to design innovative solutions for the future of air mobility across the University of California. \nThe session will cover this year’s competition guidelines\, key dates and requirements\, and available resources. Attendees will also have the opportunity for Q&A with members of the CITRIS Aviation Leadership Committee\, which includes aviation research faculty from UC Berkeley\, UC Davis\, UC Merced\, and UC Santa Cruz. \nRegister via Zoom to attend. \nFor any questions\, please email aviationprize@citris-uc.org or CITRIS Aviation Program Coordinator Eric Guerrieri (eguerrie@ucsc.edu).
URL:https://events.ucsc.edu/event/citris-aviation-prize-information-session/
LOCATION:https://events.ucsc.edu/event/citris-aviation-prize-information-session/
CATEGORIES:Competition,Meetings & Conferences
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261014T110000
DTEND;TZID=America/Los_Angeles:20261014T150000
DTSTAMP:20260915T233233Z
CREATED:20260915T232212Z
LAST-MODIFIED:20260915T233233Z
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SUMMARY:2026 Fall STEM Career & Internship Fair
DESCRIPTION:Here is a chance to meet tech recruiters in person! \nIf you are interested in pursuing a career in science\, technology\, engineering\, mathematics or research\, then take advantage of this opportunity to meet recruiters from companies looking to fill various positions (both technical and non-technical). Learn more about internships and full-time career opportunities. Undergraduate students\, graduate students\, and recent alumni are all welcome to attend! \nCurious about how to best prepare for the fair? \n1. Research the organization \nIdentify the top 3-5 companies you are interested in\, but remember to be open to different companies you may not have heard of because they may be a startup or business-to-business organization that doesn’t directly serve consumers. \nDo your research by reviewing company websites. Look for their mission\, values\, location\, and the type of available opportunities (e.g.\, internships\, full-time positions\, etc.). Company representatives are impressed by potential candidates who take the time to do this! \n2. Prepare your introduction and questions \nReflect on what it is about each company that resonates with you. Perhaps it’s the specific technology they’re developing\, the research they’re leading\, or the world problem they’re trying to solve. What relevant experiences do you have? How can you be of service to that organization? Exercise critical thinking skills to develop questions to ask recruiters and hiring managers. \n3. Dress with confidence \nEach industry and each company has different work attire expectations and organizational culture. Do your research\, ask mentors in advance for advice\, and dress to impress! \nPLEASE NOTE: You are encouraged to check in at the student registration table in order to participate in the career fair. Bring your student ID. \nWant more support? \n\nVisit a peer coach during drop-in hours\nSchedule a career coaching appointment with a Career Engagement Specialist\nFor PhD students looking to pursue careers in industry\, explore Beyond the Professoriate\n(Scroll over “Login to Platform” at the top navigation bar and click “Through your institution”)\nGet career tips on demand from our Career Success YouTube video library\nStay in the loop by following Career Success on Instagram\n\nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication.\n \nYou Belong Here: The programs and services described here are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. \nTo learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications. \nQuestions? Send to csuccess@ucsc.edu or visit Career Success at Hahn 125 East Entrance\nNeed accessibility support? Let us know at slugtalent@ucsc.edu at least two weeks prior to the fair date. \nCareer fair registrations are made without endorsement\, direct or implied\, by Career Success or UCSC. Career Success educates students about various opportunities and ensures equity of access to campus recruiting activities for all employers who abide by our Employer Policies. Individual students are encouraged to determine which employers align with their diverse talents\, values\, and interests.
URL:https://events.ucsc.edu/event/2026-fall-stem-career-internship-fair/
LOCATION:Stevenson Event Center\, Stevenson Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261019T160000
DTEND;TZID=America/Los_Angeles:20261019T170000
DTSTAMP:20260921T164141Z
CREATED:20260921T164141Z
LAST-MODIFIED:20260921T164141Z
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SUMMARY:Statistics Seminar: Advancing Science on the Sea and Stars with Modern Statistical Techniques
DESCRIPTION:Presenter: J. Xavier Prochaska\, Professor\, UC Santa Cruz \nDescription: I will present two current and challenging research problems from the domains of astrophysics and oceanography which are leveraging standard Bayesian methods. After describing the datasets\, scientific goals\, and currently methodology\, I will welcome a discussion on ways to improve\, advance\, and/or replace the current approaches. Ideally within the realm of tradiational/modern statistics\, but I will welcome soluation with machine learning/AI approaches. I will then conclude by describing forthcoming\, large datasets that could leverage expertise from members of the Department of Statistics. For those who wish a preview of the data and current techniques\, I will circulate a README a day or two in advance of the seminar. \nAbout the speaker: PhD Physics — UC San Diego; Professor Astronomy & Astrophysics and Ocean Sciences — UC Santa Cruz \n\n\n\n\n\nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/statistics-seminar-advancing-science-on-the-sea-and-stars-with-modern-statistical-techniques/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261019T160000
DTEND;TZID=America/Los_Angeles:20261019T170000
DTSTAMP:20260922T181210Z
CREATED:20260922T181210Z
LAST-MODIFIED:20260922T181210Z
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SUMMARY:AM Seminar: Analysis of Flagellar Gait Changes Across Fluid Viscosities
DESCRIPTION:Presenter: Dr. Kelli Gutierrez\, CSU Monterey Bay \nDescription: Many microswimmers propel themselves using flagella\, which are thin\, threadlike filaments that beat in a periodic wavelike motion. The flagellar beat emerges from the coupled interactions between the surrounding fluid and the active and passive responses of the flagellum. Previous studies have observed the qualitative shape of the flagellar waveform and the swimming speed to change with fluid viscosity. We quantify changes in the flagellar waveforms of \textit{Chlamydomonas reinhardtii} in response to changes in fluid viscosity using (i) shape mode analysis and (ii) a full swimmer simulation to analyze how shape changes affect the swimming speed. By decomposing the gait into the time‑independent mean shape and the time‑varying stroke\, we find that the time-independent mean shape changes substantially in response to viscosity\, while the changes in the time-varying stroke are more subtle. \nAbout the speaker: Dr. Gutierrez received her Ph.D. in Applied Mathematics from UC Davis. She joined the Department of Mathematics and Statistics Department at Cal State Monterey Bay in 2026. Her research interests include mathematical biology\, fluid dynamics\, and applied mathematics. \nThis seminar is hosted by Applied Mathematics.
URL:https://events.ucsc.edu/event/am-seminar-analysis-of-flagellar-gait-changes-across-fluid-viscosities/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261022T100000
DTEND;TZID=America/Los_Angeles:20261022T193000
DTSTAMP:20260923T211043Z
CREATED:20260923T211043Z
LAST-MODIFIED:20260923T211043Z
UID:10017072-1792663200-1792697400@events.ucsc.edu
SUMMARY:CruzCon: Open Source for Research & Innovation
DESCRIPTION:CruzCon brings together UC researchers\, faculty\, students\, campus leadership\, and industry partners for a day exploring open source in research and innovation — hosted by the UC Santa Cruz Open Source Program Office (CROSS) and CITRIS and the Banatao Institute at the Seymour Center\, UC Santa Cruz. \nRegistration Open\nPlease note that is not an open event as space is limited. It is meant primarily for UC affiliates\, industry partners and invited guests. If you are an external participant who has not received a direct invitation please email cross-info@ucsc.edu to request one before registering. \nAttendees are also invited to join the CROSS Annual Oktoberfest\, held immediately following the conference.
URL:https://events.ucsc.edu/event/cruzcon-open-source-for-research-innovation/
LOCATION:Seymour Marine Discovery Center\, 100 McAllister Way\, Santa Cruz\, CA\, 95060
CATEGORIES:Conference
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GEO:36.9495746;-122.0645023
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seymour Marine Discovery Center 100 McAllister Way Santa Cruz CA 95060;X-APPLE-RADIUS=500;X-TITLE=100 McAllister Way:geo:-122.0645023,36.9495746
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261022T140000
DTEND;TZID=America/Los_Angeles:20261022T170000
DTSTAMP:20260902T173732Z
CREATED:20260902T173732Z
LAST-MODIFIED:20260902T173732Z
UID:10016352-1792677600-1792688400@events.ucsc.edu
SUMMARY:Wiki-a-thon  to support BIPOC Scientists and Engineers
DESCRIPTION:Wikipedia overwhelmingly recognizes the achievements of white people. Join us as we add wikipedia pages for BIPOC leaders in science and technology\, highlighting their often overlooked accomplishments and ensuring that the next generation can see role models who look like them. \n\n\n\nNo experience is necessary – just bring a laptop! \n\n\n\n\nWe will provide a list of scientists who don’t yet have pages\, or you can come up with your own! The event will begin with a short training on how to edit Wikipedia\, followed by time to write your own article on a scientist\, engineer\, or technologist of your choice. \nRSVP here \nPlease RSVP above for a Zoom link if you will be attending virtually\, or to let us know that you are coming in person. Snacks will be provided!
URL:https://events.ucsc.edu/event/wiki-a-thon-to-support-bipoc-scientists-and-engineers/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Social Gathering,Training,Undergraduate,Volunteer
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261102T160000
DTEND;TZID=America/Los_Angeles:20261102T170000
DTSTAMP:20260921T170456Z
CREATED:20260921T170456Z
LAST-MODIFIED:20260921T170456Z
UID:10017108-1793635200-1793638800@events.ucsc.edu
SUMMARY:AM Seminar: Sliced Optimal Transport: From Acceleration to Bayesian Modeling
DESCRIPTION:Presenter: Enter the speaker’s name\, title\, and institution at the top of the event \nDescription: Optimal transport (OT) provides a principled way to match\, compare\, and interpolate distributions\, but its computational cost limits its use at realistic scales. I will present our recent work on reducing that cost and on using OT for statistical modeling and inference. In the first part of the talk\, I will briefly introduce optimal transport and sliced optimal transport (SOT). I will then present sliced-regularized OT\, which uses a cheap sliced plan as an informative prior for approximating the full plan\, yielding an efficient approximate OT solver. In the second part\, I will show how SOT enables new applications in statistical inference. In particular\, I will introduce distributional determinantal point processes\, which use SOT geometry to place repulsive priors on distributions\, giving a Bayesian model for clustering distributional data. Applications include image processing and the clustering of single-cell and epilepsy data. \nAbout the speaker: Dr. Khai Nguyen is an Assistant Professor in the Department of Statistics and Data Science at Texas A&M University. He received his Ph.D. in Statistics from the University of Texas at Austin and his B.Sc. in Computer Science from Hanoi University of Science and Technology. His research develops computational optimal transport\, particularly sliced methods that make large-scale transport tractable. He brings these tools to problems in machine learning and geometric data processing\, as well as to Bayesian approximate inference and nonparametric models for distributional data. \nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/am-seminar-sliced-optimal-transport-from-acceleration-to-bayesian-modeling/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261109T160000
DTEND;TZID=America/Los_Angeles:20261109T170000
DTSTAMP:20261007T210443Z
CREATED:20261007T210443Z
LAST-MODIFIED:20261007T210443Z
UID:10017758-1794240000-1794243600@events.ucsc.edu
SUMMARY:AM Seminar: Enhanced Resolution Imaging in Strongly Scattering Media
DESCRIPTION:Presenter: Chrysoula Tsogka\, Professor\, Applied Mathematics\, UC Merced \nDescription: In a strongly scattering medium\, waves undergo multiple scattering that is usually seen as an obstacle to imaging. Time-reversal experiments show the opposite: waves re-emitted into the medium refocus on their source more sharply than in a homogeneous medium\, because scattering makes the array appear larger than it is. This effect\, known as super-resolution\, is not available to conventional imaging. Since the medium through which the waves travelled is unknown\, conventional methods back-propagate the data in an approximation of the true background. In this talk I will show how super-resolution can be achieved in imaging when abundant array data are available. The key idea is to learn the Green’s functions of the unknown random medium directly from the data using sparse dictionary learning. The Green’s functions are recovered as unordered columns of the sensing matrix. To associate each column with its location in the imaging window\, we build a graph from cross-correlations of the recovered columns and apply multidimensional scaling to the resulting proxy distances. The learned Green’s functions are then used to form images by back-propagation or by $\ell_2$ and $\ell_1$ methods\, with resolution beyond the homogeneous medium limit. I will also discuss recent extensions: a new dictionary learning algorithm that starts from a random initialization\, imaging on unstructured grids\, and imaging through changing random media. Joint work with M. Moscoso\, A. Novikov\, G. Papanicolaou\, A. Christie\, M. Leibovich and J. Zheng. \nAbout the speaker: Chrysoula Tsogka is a Professor of Applied Mathematics at the University of California\, Merced\, where she also serves as Chair of the Applied Mathematics Graduate Group. She received her Ph.D. in Applied Mathematics from the University Paris IX Dauphine and was a Postdoctoral Fellow at Stanford University. Before joining UC Merced in 2019\, she was a tenured CNRS researcher at LMA in Marseille\, an Assistant Professor at the University of Chicago\, and a Professor at the University of Crete. Her research focuses on numerical methods for direct and inverse wave propagation problems and on imaging in complex media. Her recent work includes quantitative synthetic aperture radar (SAR) imaging for the detection and classification of buried landmines\, and data-driven methods\, such as dictionary learning\, for super-resolution imaging in strongly scattering media. She serves on the editorial boards of Inverse Problems\, the Journal of Computational Physics and the Journal of Mathematical Imaging and Vision.
URL:https://events.ucsc.edu/event/am-seminar-enhanced-resolution-imaging-in-strongly-scattering-media/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261123T160000
DTEND;TZID=America/Los_Angeles:20261123T170000
DTSTAMP:20261007T203353Z
CREATED:20261007T203353Z
LAST-MODIFIED:20261007T203353Z
UID:10017756-1795449600-1795453200@events.ucsc.edu
SUMMARY:Statistics Seminar: Randomization Posteriors and Generalized Bayesian Inference
DESCRIPTION:Presenter: Edric Tam\, Warren Alpert Fellow in AI and Computational Biology\, Department of Biomedical Data Science\, Stanford University \nDescription: A longstanding question in Bayesian analysis concerns the role of randomization. We introduce randomization posteriors\, a class of generalized Bayesian updates obtained by averaging over an auxiliary randomization law. A particularly relevant instance assigns random weights to the log-likelihood contributions of individual observations\, thereby averaging inference over random perturbations of the dataset. The resulting posterior updates are governed by a fundamental design choice: the stage at which the randomization is averaged out. Averaging at the log-likelihood level recovers the power posterior for a broad class of weight distributions\, while averaging at the posterior level\, under suitable choices of weights\, recovers the bagged posterior. Averaging at the likelihood level yields a new family of generalized Bayesian updates\, which we term contamination posteriors. These are indexed by the cumulant transform of the randomization law and require a reference density for well-posedness. For Bernoulli weights\, they recover classical Huber-type contamination models\, while Beta and other weight distributions produce new generalized posteriors. We characterize the theoretical properties of randomization posteriors and illustrate their empirical robustness through simulations and experiments. We also discuss connections with bootstrap methods\, coarsened posteriors\, and other generalized Bayesian updating procedures. \nAbout the speaker: Edric (Ed) Tam is a postdoctoral fellow at the Department of Biomedical Data Science in Stanford University. His research lies at the intersection of Bayesian statistics\, artificial intelligence\, and biomedical applications. His postdoctoral work has been supported by a Warren Alpert Fellowship and a Croucher Postdoctoral Fellowship. He earned his PhD in Statistical Science from Duke University\, where he worked with David Dunson\, and holds degrees in computer science and biomedical engineering from the University of Chicago\, Yale University\, and Johns Hopkins University. He has also held research and engineering roles at Google\, Meta\, Amazon\, and Apple AIML. \nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/statistics-seminar-randomization-posteriors-and-generalized-bayesian-inference/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20270315T000000
DTEND;TZID=America/Los_Angeles:20270315T235959
DTSTAMP:20251118T004433Z
CREATED:20251118T004258Z
LAST-MODIFIED:20251118T004433Z
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SUMMARY:Summer Live in the Schedule of Classes
DESCRIPTION:The Summer Session Schedule of Classes goes live today. Explore course descriptions\, prerequisites\, and meeting times to start planning early for summer enrollment. Email summer@ucsc.edu with questions or call 831-459-5373.
URL:https://events.ucsc.edu/event/summer-live-in-the-schedule-of-classes/2027-03-15/
LOCATION:CA
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2025/11/Events-Calendar-Enrollment-Open-1-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20280315T000000
DTEND;TZID=America/Los_Angeles:20280315T235959
DTSTAMP:20251118T004433Z
CREATED:20251118T004258Z
LAST-MODIFIED:20251118T004433Z
UID:10005175-1836691200-1836777599@events.ucsc.edu
SUMMARY:Summer Live in the Schedule of Classes
DESCRIPTION:The Summer Session Schedule of Classes goes live today. Explore course descriptions\, prerequisites\, and meeting times to start planning early for summer enrollment. Email summer@ucsc.edu with questions or call 831-459-5373.
URL:https://events.ucsc.edu/event/summer-live-in-the-schedule-of-classes/2028-03-15/
LOCATION:CA
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2025/11/Events-Calendar-Enrollment-Open-1-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20290315T000000
DTEND;TZID=America/Los_Angeles:20290315T235959
DTSTAMP:20251118T004433Z
CREATED:20251118T004258Z
LAST-MODIFIED:20251118T004433Z
UID:10005176-1868227200-1868313599@events.ucsc.edu
SUMMARY:Summer Live in the Schedule of Classes
DESCRIPTION:The Summer Session Schedule of Classes goes live today. Explore course descriptions\, prerequisites\, and meeting times to start planning early for summer enrollment. Email summer@ucsc.edu with questions or call 831-459-5373.
URL:https://events.ucsc.edu/event/summer-live-in-the-schedule-of-classes/2029-03-15/
LOCATION:CA
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2025/11/Events-Calendar-Enrollment-Open-1-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20300315T000000
DTEND;TZID=America/Los_Angeles:20300315T235959
DTSTAMP:20251118T004433Z
CREATED:20251118T004258Z
LAST-MODIFIED:20251118T004433Z
UID:10005177-1899763200-1899849599@events.ucsc.edu
SUMMARY:Summer Live in the Schedule of Classes
DESCRIPTION:The Summer Session Schedule of Classes goes live today. Explore course descriptions\, prerequisites\, and meeting times to start planning early for summer enrollment. Email summer@ucsc.edu with questions or call 831-459-5373.
URL:https://events.ucsc.edu/event/summer-live-in-the-schedule-of-classes/2030-03-15/
LOCATION:CA
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2025/11/Events-Calendar-Enrollment-Open-1-1.png
END:VEVENT
END:VCALENDAR