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  • TILOS-SDSU Seminar: A Modular AgenticAI Architecture for Commercially Scalable and Compliant Robotics

    TBA

    Sahil Rajesh Dhayalkar, Brain Corporation Abstract: Autonomous navigation in dynamic environments faces immense challenges. Traditional rigid, rules-based systems often fail due to a lack of semantic understanding needed to adapt to continuous environmental shifts. Conversely, emerging end-to-end Vision-Language-Action (VLA) models introduce a critical "black box" dilemma; they inherently lack the explicit application context, deterministic guardrails, […]

  • Headshot of Dr. Tengyu Ma

    Optimization for ML and AI Seminar: Fantastic Pretraining Optimizers and Where to Find Them

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Tengyu Ma, Stanford Abstract: AdamW has long been the dominant optimizer in language model pretraining, despite numerous claims that alternative optimizers offer 1.4 to 2x speedup. We posit that two methodological shortcomings have obscured fair comparisons and hindered practical adoption: (i) unequal hyperparameter tuning and (ii) limited or misleading evaluation setups. To address these two […]

  • Optimization for ML and AI Seminar with Nigel Goldenfeld (UC San Diego)

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Nigel Goldenfeld, UC San Diego Abstract: TBA Nigel Goldenfeld holds the Chancellor's Distinguished Professorship in Physics at UC San Diego, which he joined in Fall 2021 after 36 years at the University of Illinois at Urbana-Champaign (UIUC). Nigel's research spans condensed matter theory, the theory of living systems, hydrodynamics and non-equilibrium statistical physics. Nigel received […]

  • Poster for the 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition

    CVPR 2026 Workshop: Trustworthy, Robust, Uncertainty-Aware, and Explainable Visual Intelligence and Beyond (TRUE-V)

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Denver, CO, United States

    Contemporary vision models and vision–language models are increasingly deployed in high-stakes domains, yet remain opaque, fragile, and difficult to align across tasks and modalities. This workshop aim to foster dialogue on the urgent need for transparent, reliable, and safe computer vision systems, especially in critical domains such as healthcare, transportation, and legal decision making. It brings together […]