Posts by Srikanth Kilaru

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  • JULY 29, 2025 / AI

    A roboticist's journey with JAX: Finding efficiency in optimal control and simulation

    Max's journey introduces LQRax, a JAX-native LQR solver, which exemplifies the growing JAX robotics ecosystem that includes tools like Brax, MJX, and JaxSim, highlighting the benefits of JAX for computational efficiency in optimal control and simulation, and for seamlessly integrating model-based and learning-based approaches.

    JAX_meta
  • JULY 16, 2025 / Cloud

    Stanford’s Marin foundation model: The first fully open model developed using JAX

    The Marin project aims to expand the definition of 'open' in AI to include the entire scientific process, not just the model itself, by making the complete development journey accessible and reproducible. This effort, powered by the JAX framework and its Levanter tool, allows for deep scrutiny, trust in, and building upon foundation models, fostering a more transparent future for AI research.

    Stanford Marin project in JAX