{
  "$type": "site.standard.document",
  "description": "There is provided a the system configured to receive a pretrained model configured to output a plurality of representations based at least in part on an input comprising a graph representing an environment through which a vehicle is traversing, a node of the graph comprising, as an embedding, a…",
  "path": "/patents/1374331",
  "publishedAt": "2026-06-02T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0015",
    "Zoox, Inc."
  ],
  "textContent": "There is provided a the system configured to receive a pretrained model configured to output a plurality of representations based at least in part on an input comprising a graph representing an environment through which a vehicle is traversing, a node of the graph comprising, as an embedding, a vector encoding; receive a task comprising: a function to append to the pretrained model, a dataset, a loss function; and update, based at least in part on the task, the pretrained model to generate an updated machine learned model; and deploy the updated machine learned model to a vehicle computing system associated with a vehicle configured to be controlled based at least in part on an output of the updated machine learned model.",
  "title": "Adaptive self-supervised learned model for controlling a vehicle"
}