• Xu, Y. (CSE) – Right Place, Right Time: Accelerating Edge Computation on Modern Heterogeneous SoCs

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Modern edge computing increasingly relies on heterogeneous System-on-Chip (SoC) architectures. These chips tightly integrate general-purpose CPUs with various specialized accelerators, including GPUs, FPGAs, and AI accelerators, all under a shared memory architecture. Although these shared-memory SoCs enable more efficient communication and data sharing between different processing units, they are notoriously difficult to program and tune […]

  • Science in the Neighborhood: Transforming Pacific salmon recovery, from genes to ecosystems

    Coastal Biology Building 130 McAllister Way, Santa Cruz, CA

    For millennia, Pacific salmon have been integral to the health of coastal ecosystems and human communities from California to Alaska. Salmon are ecological and cultural keystone species, connecting marine and freshwater food webs and supporting thriving fisheries. Yet, wild salmon have declined precipitously due to a combination of factors including dams, harvest, hatcheries, water use—and now, climate change. This is part of the Science in the Neighborhood lecture series.

    Free
  • First Saturday Tour at the Arboretum

    First Saturday Tour at the Arboretum
    Arboretum 122 Arboretum Road, Santa Cruz, CA

    First Saturday Tours are a wonderful way to introduce yourself to the Arboretum or to deepen your knowledge of the Arboretum’s plant collections. Each tour is a little different depending on the time of year, the interests of the tour guide, and the people who join in. For example, you might learn about the birds […]

  • Statistics Seminar: Evaluating Predictive Algorithms Under Missing Data

    Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. Yet, in many real-world domains, evaluation is fundamentally difficult: the data available for assessment are often biased, incomplete, or noisy, and the act of deploying […]

  • AM Seminar: Solution Discovery in Fluids with High Precision Using Neural Networks

    Presenter: Ching-Yao Lai, Assistant Professor, Stanford University Description: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being deemed universal function approximators, neural networks, in practice, struggle to fit functions with sufficient accuracy for rigorous analysis. Here, we developed multi-stage neural networks (Wang […]

  • Statistics Seminar: Evaluating Predictive Algorithms Under Missing Data

    Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. Yet, in many real-world domains, evaluation is fundamentally difficult: the data available for assessment are often biased, incomplete, or noisy, and the act of deploying […]

  • Mashhadi, N. (CSE) – Compositional, Clinically Conditioned, and Confound-Aware Deep Learning for Alzheimer’s Disease Neuroimaging

    Virtual Event

    Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia. Neuroimaging and clinical biomarkers can reveal early disease changes, but building reliable machine learning models is difficult because data come from different scanners and sites, some modalities are missing, labeled cohorts are limited, and factors such as age and scanner/site effects […]

  • CSE Colloquium: Co-Active AI-Assisted Programming

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA

    Presenter: Nadia Polikarpova, UCSD Abstract: AI-assisted programming has rapidly moved from novelty to default. Today, most developers use AI coding tools, and increasingly rely on agentic systems capable of making multi-step […]

    Free
  • Yang, S. (CSE) – Beyond Image Editing: Building Generalized Image Customization Systems

    Virtual Event

    Current generative vision models struggle with image customization that requires multi-step reasoning or real-world knowledge. This proposal introduces generalized image customization, enabling systems to execute complex, inferential modifications rather than just simple edits. The research focuses on the foundational framework required for this generalization, specifically high-quality training data, scalable evaluation benchmarks, self-improving training paradigms that […]

  • What’s new in AI?

    Silicon Valley Campus 3175 Bowers Avenue, Santa Clara, CA, United States

    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 […]

  • BME 280B Seminar: Modulating Insulin Receptor Through New Ligands

    Physical Sciences Building Physical Sciences Building, Santa Cruz, CA

    Presenter: Danny Chou, Associate Professor of Pediatrics, Stanford University Description: Since its discovery in 1921, insulin has been at the forefront of scientific breakthroughs. From its amino acid sequencing to […]

  • [HSI Equity Talk] Beyond Invisibility: Reimagining Servingness to Support Undocumented Transfer Students

    Virtual Event

    Presenters: Valeria Alonso Blanco, Dr. Saskias Casanova, and Jesus Morales This interactive talk draws on a qualitative study conducted with undocumented Latinx transfer students at a California four-year HSI. Using focus groups and reflexive thematic analysis, we examined how these students perceive and experience institutional support, belonging, and barriers related to their intersectional identities. This […]

  • Your path to medical school starts here.

    Silicon Valley Campus 3175 Bowers Avenue, Santa Clara, CA, United States

    Are you considering medical school and seeking a clear, supportive path forward? Join the University of California, Santa Cruz, for a free online informational session to learn more about our […]

  • Fan, Y. (CSE) – Building Human-Centered Multimodal AI Agents

    Virtual Event

    As multimodal artificial intelligence systems become increasingly embedded in everyday technology, there is a growing need to design human-centered AI agents that support and amplify human capabilities rather than replace them. This dissertation investigates how to build human-centered multimodal AI agents, framing human-centeredness as an agent-level objective that requires both accessible, assistive interaction and reliable, […]

  • Moghadam, M. (CE) – Constraint-Aware Scene Understanding and Trajectory Generation Using Deep Reinforcement Learning for Autonomous Vehicles

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Advanced driver-assistance systems (ADAS) are commonly organized as modular pipelines that transform raw sensor measurements into low-level actuation commands through perception, planning, and control. While learning-based methods have achieved state-of-the-art performance in perception and environment modeling, the planning layer remains a key bottleneck for reliable autonomy. Highway driving in particular requires long-horizon reasoning and socially […]