Tag: Engineering
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Inaugural PyTorch Santa Cruz Meetup
A community gathering of people interested in PyTorch and the projects that use it – not an official PyTorch organization. Sponsored by Red Hat and University of California Santa Cruz Location: Engineering 2, Room 180 Food, Socializing, and Excellent talks from the PyTorch Ecosystem 5:30 – 6:30 Food and Socializing 6:30 – 7:00 Talk 1…
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Optimizing Your Internship: Insider Strategies on How to Thrive in the Workplace
An internship is more than just a summer job, it can be the ultimate launchpad for your career! Join us for a practical, insider-focused discussion designed to help you maximize your internship experience and position yourself for future offers and success. In this session, we’ll talk about ways to: Set goals and make a strong…
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Analyzing AI Security and Vulnerabilities in the Current Landscape
Interested in careers in AI and cybersecurity? Then don’t miss this highly informative workshop covering today’s most relevant trends in this space. In this 2-part session, you’ll get expert insight from security leaders at Microsoft. Here’s a breakdown of each part: When AI Breaks, Be the One Who Notices Speaker: Raji Vanninathan Discover how…
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Careers in Climate Tech & Sustainability
Ready to explore career pathways that matter? Attend our very special Careers in Climate Tech & Sustainability Panel for an inside look at careers that will help build a sustainable future. Panelists representing different roles and organizations will share their career journeys and offer practical insights into working in climate tech. There will also be a…
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Gen AI Dev Tools Bootcamp with AWS
Are you curious about generative AI development tools and vibe coding? Join us for an excitng in-person boot camp where you will take part in a hands-on lab that will introduce you to the fundamentals of this rapidly growing field. Here’s the tentative schedule: 1:00 – 1:45 – Intro to AI/ML 1:45 – 2:45 –…
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Statistics Seminar: Hierarchical Clustering with Confidence
Presenter: Snigdha Panigrahi, Associate Professor, Department of Statistics, University of Michigan Description:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate to each other. However, its greedy nature makes it highly sensitive to small perturbations in the data, often producing different clustering results and making it…
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AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
Presenter: Dr. Xun Tang, Stanford University Description: This talk covers an efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format. The two settings we consider are variational inference and density estimation, whereby one has access to either the unnormalized analytic formula of the distribution or the samples…
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Kraw Lecture: At the Forefront of AI: Innovation and Discovery
Artificial intelligence is transforming how we understand and solve the world’s most complex challenges—while at the same time causing new challenges and concerns. We invite you to join us for a special UC Santa Cruz Kraw Lecture showcasing the faculty whose groundbreaking research in artificial intelligence is transforming science, technology, and society. From advances in…
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AM Seminar: Flexible Filaments and Swimming Cups: Just Go with the Flow
Presenter: Lisa Fauci, Professor, Tulane University Description: The motion of waving or rotating filaments in a fluid environment is a common element in many biological and engineered systems. Examples at the microscale include chains of diatoms moving in the ocean, flagella of individual cells comprising multicellular colonies, as well as engineered nanorobots designed to deliver…
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Statistics Seminar: Some Recent Results on Transfer Learning
Presenter: Oscar Hernan Madrid Padilla, Assistant Professor, University of California, Los Angeles Description: In the first part of the talk, I will introduce TRansfer leArning via guideD horseshoE prioR (TRADER), a novel approach enabling multi-source transfer through pre-trained models in high-dimensional linear regression. TRADER shrinks target parameters towards a weighted average of source estimates, accommodating…