• AI Frontier: Data, Agents & Robots at TechWeek SF

    Join us for an immersive SF Tech Week experience hosted by the Silicon Valley AI Pioneer Club and UC Santa Cruz GenAI Center — where AI builders, investors, innovators and […]

    free
  • 2025 Fall STEM Career & Internship Fair

    Stevenson Event Center Stevenson Service Road, Santa Cruz, CA

    Here is a chance to meet tech recruiters in person! If 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, […]

  • CITRIS Aviation Prize Information Session

    Join us for this virtual info session on the 2025–26 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. The session will cover this year’s competition guidelines, key dates and requirements, and available resources. Attendees will also have the opportunity […]

  • CSE Colloquium – The C++11 Concurrency Memory Model: Remaining Challenges

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

    Presenter: Hans Boehm, Google Abstract: C++11 extended the language to include threads, defining a concurrency memory model to specify the semantics of shared variables, including “atomic” variables that can be accessed without mutual exclusion. Although this followed Posix threads by more than a decade, and the revision of the Java memory model by a few […]

  • CSE Colloquium: A Journey from Programming Systems Research to AI Agents

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

    Speaker: Koushik Sen, UC Berkeley and Google DeepMind Abstract: Coding has emerged as an important application area for large language models (LLMs), with a proliferation of code-specific models and their applications across various domains and tasks such as program repair, performance optimization, debugging, test generation, documentation, and security hardening. In this talk, I will describe […]

    Free
  • CSE Colloquium: Mitigating Data Scarcity via Simulation by Roozbeh Mottaghi

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

    Presenter: Roozbeh Mottaghi, University of Washington Abstract: Data has revolutionized progress across AI fields like natural language processing and computer vision. Yet, in robotics, data collection remains a significant challenge: robots must interact with complex, dynamic environments, making the process slow, costly, and difficult to scale. In this talk, I will discuss how simulation is […]

    Free
  • United Nations Reboot the Earth Hackathon

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

    The United Nations (UN) and the Baskin School of Engineering at the University of California, Santa Cruz, are collaborating to bring the “Reboot the Earth” hackathon to the West Coast for the first time. This is a social event bringing together aspiring developers to create open source software solutions that address the climate crisis, including […]

  • Wang, S. (CSE) – Learned Hashing and Overlay Networks for AI-native Retrieval and Serving at Scale

    Hybrid Event

    Modern AI systems demand low-latency high-quality retrieval and serving over billion-scale keys and vectors. This proposal studies learned hashing and overlay networks to co-locate semantically related items and steer queries with minimal coordination. We first present LEAD, to our knowledge the first use of order-preserving learned hash functions in distributed key-value overlays, enabling efficient range […]

  • CSE Colloquium – Neurosymbolic AI: from research to industry

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

    Presenter: Luis Lamb, Catholic Institute of Technology Abstract: Neurosymbolic AI brings together the statistical nature of machine learning with the formal reasoning capabilities of symbolic AI. It seeks to offer a balanced approach to contemporary AI technologies, by combining the ability to learn from data, with the capacity to reason upon knowledge acquired from an environment. […]

    Free
  • Petety, A. (CSE) – New Algorithmic Methods for Uncertain Inputs

    This dissertation focuses on designing and proving performance guarantees on algorithms when there is uncertainty in the input. The uncertainty could be from the user being unsure or future inputs that have not arrived yet. We look at different methods in which algorithms can be designed to be competitive against the optimal. One of the […]