Antoine Beyeler

1/ We just raised $17M to build the multimodal data stack for Physical AI! 🚀 Lead: @PointNineCap With: @CostanoaVC, Sunflower Capital, @seedcamp Angels including: @rauchg, @ericjang11, @olivercameron, @wesmckinn , @dessaigne , @abimbhet Thesis: rerun.io/blog/physical-ai-da…

Rerun 0.17: defaults and overrides, streaming in notebooks, and better website embeddings. This release brings a huge increase in explicit control over your visualizations. You can now use blueprints to set default component values on a view and override components on specific entities in the view. You can do this both from the code and in the UI. In the video, we use a default to bulk edit the size of all camera frustums and an override to edit just the front-facing frustum size. With the introduction of blueprint overrides and defaults, Rerun 0.17 gives you direct control over what visualizers are applied to what entities and makes all of this easy to inspect in the UI. Together, these features increase your flexibility and control over exactly how your data is visualized in Rerun. Beyond defaults and overrides, this release also comes with improved notebook and website embedding support, more Blueprint support, new examples and much more!

A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by @SashaKhazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

Rerun 0.15 is out! With it we’re introducing Blueprint APIs With the new APIs you can define the layout and contents of views directly from code. For example, this video shows live coding of how the output of a face-tracking algorithm is shown as the algorithm is running. Let’s dig in 👇

Introducing Rerun 0.13! With this release Rerun is (to our knowledge) the first publicly available multimodal visualizer with timeline scrolling that supports live visualization of time series in the kHz range. This is made possible by a 20-30x performance increase of time series plots.