Audience: Prospective Students

  • What’s new in AI?

    What’s new in AI?

    Lead innovation as a machine learning engineer Want to learn what’s new in AI? Join Praveen Krishna, chair of the Artificial Intelligence Application Development certificate program, in an informal discussion about the AI topic of the month and an open Q&A. You’ll get an insider’s look at what you need to know for where you…

  • Unexpected Returns: The Historic Entanglements of Fire, Settlement, and Stewardship in the Santa Cruz Mountains

    Unexpected Returns: The Historic Entanglements of Fire, Settlement, and Stewardship in the Santa Cruz Mountains

    March 4th, 2026 from 6:00 p.m. – 7:30 p.m. Miriam Greenberg and Andrew Matthews will present the findings of UCSC researchers who have spent three years studying the ecological, social, and political economic processes that have set the stage for contemporary wildfires, in what has become known as the “Wildland Urban Interface” (WUI). Come and…

  • Liu, C. (CSE) – Enabling LLM Unlearning at Inference Time by Decomposing Detection and Intervention

    Liu, C. (CSE) – Enabling LLM Unlearning at Inference Time by Decomposing Detection and Intervention

    Machine unlearning addresses the “right to be forgotten” under GDPR and enables privacy, copyright, and safety compliance in large language models. Training-based unlearning can remove targeted behavior on benchmarks, but it scales poorly, can degrade utility, and can fail under adversarial prompting that recovers supposedly forgotten content. This prospectus proposes inference-time behavioral unlearning: rather than…

  • Fredrickson, K. (CSE) – Practical Anonymity with Formal Resistance to Traffic Analysis

    Fredrickson, K. (CSE) – Practical Anonymity with Formal Resistance to Traffic Analysis

    Anonymous communication systems hide who is talking to whom, not just what is said. However, existing systems are either vulnerable to traffic analysis attacks–attacks where adversaries observe and correlate the network traffic of users–or are forced to rely on unrealistic and unenforceable assumptions about how users behave. Worse, existing theory lacks tools to rigorously model…

  • Food For Thought

    Join the People of Color Sustainability Collective for a fun, community-centered day of activities, shared food, and meaningful conversation. This gathering creates an informal, educational space for the UCSC community to connect with one another while exploring themes within environmentalism, with an emphasis on inclusive sustainability. Food for Thought will focus on food sovereignty and strengthening…

  • “The Eternal Song” Film Screening

    About the Film The Eternal Song is a cinematic journey through timeless lands and Indigenous cultures. Voices from across generations and traditions invite us to witness the enduring scars of colonization on lands and peoples, and the healing pathways carried through ancestral wisdom. Entrusted with medicine stories, the film grapples with colonial legacies, intergenerational trauma,…

  • “The Eternal Song” Film Screening

    The Eternal Song is a cinematic journey through timeless lands and Indigenous cultures. Voices from across generations and traditions invite us to witness the enduring scars of colonization on lands and peoples, and the healing pathways carried through ancestral wisdom. Entrusted with medicine stories, the film grapples with colonial legacies, intergenerational trauma, and the culture…

  • What’s new in AI?

    What’s new in AI?

    Chat with the AI chair Lead innovation as a machine learning engineer Want to learn what’s new in AI? Join Praveen Krishna, chair of the Artificial Intelligence Application Development certificate program, in an informal discussion about the AI topic of the month and an open Q&A. You’ll get an insider’s look at what you need…

  • Sambamurthy, A. (AM) – Lazy Diffusion: Resolving Spectral Collapse in Generative Models for Turbulence

    Sambamurthy, A. (AM) – Lazy Diffusion: Resolving Spectral Collapse in Generative Models for Turbulence

    Diffusion-based generative models offer a principled framework for probabilistic forecasting, but we show they suffer from a fundamental spectral collapse when applied to turbulent flows. A Fourier-space analysis of the forward SDE reveals that the mode-wise signal-to-noise ratio decays monotonically in wavenumber for power-law spectra, rendering high-wavenumber content indistinguishable from noise. We reinterpret the noise…

  • The UC Santa Cruz Kraw Lecture Series presents: Unmasking cancer’s complete genetic code

    The UC Santa Cruz Kraw Lecture Series presents: Unmasking cancer’s complete genetic code

    In this Kraw lecture, Angela Brooks will discuss her work on cancer research. Current cancer research focuses almost entirely on finding errors—mutations—in DNA. This has given us incredible tools like precision oncology, matching patients with targeted drugs. But cancer cells almost always develop drug resistance, causing treatments to fail and limiting patient survival. An often-overlooked…

Last modified: Mar 05, 2026