Abstract: The subject technology receives a key-value pair. The subject technology determines a value size of the key-value pair is greater than a threshold size for an out of line blob (OLB) key space. The subject technology performs a write operation of a key-pointer pair into a regular space. The subject technology performs a plurality of write operations for multiple key-value parts of the key-value pair into the OLB key space. The subject technology performs conflict checking of the regular space for the key-value pair.

Abstract: A system and method for utilizing a temporal recurrent network for online action detection that include receiving image data that is based on at least one image captured by a vehicle camera system. The system and method also include analyzing the image data to determine a plurality of image frames and outputting at least one goal-oriented action as determined during a current image frame. The system and method further include controlling a vehicle to be autonomously driven based on a naturalistic driving behavior data set that includes the at least one goal-oriented action.

Abstract: A system and method for egocentric-vision based future vehicle localization that include receiving at least one egocentric first person view image of a surrounding environment of a vehicle. The system and method also include encoding at least one past bounding box trajectory associated with at least one traffic participant that is captured within the at least one egocentric first person view image and encoding a dense optical flow of the egocentric first person view image associated with the at least one traffic participant. The system and method further include decoding at least one future bounding box associated with the at least one traffic participant based on a final hidden state of the at least one past bounding box trajectory encoding and the final hidden state of the dense optical flow encoding.

Abstract: The disclosed computer-implemented method for artificial-intelligence-based automated surface inspection can include receiving customer data, a request for a targeted model, and compensation for the requested targeted model. The compensation can include an agreement to contribute the customer data and/or targeted model to be available for other third-party entities. The method can also include retrieving the pre-trained model from a pre-trained model pool. The pre-trained model can be related to objects in a second industry. The method can include generating the targeted model from the pre-trained model and the customer data. The targeted model can be related to mapping sensor data to surface anomalies. The method can also include providing the targeted model to the third-party entity. The method can further include updating a distributed blockchain structure to include the at least one of the customer data and the targeted model.

Abstract: A system and method for utilizing a temporal recurrent network for online action detection that include receiving image data that is based on at least one image captured by a vehicle camera system. The system and method also include analyzing the image data to determine a plurality of image frames and outputting at least one goal-oriented action as determined during a current image frame. The system and method further include controlling a vehicle to be autonomously driven based on a naturalistic driving behavior data set that includes the at least one goal-oriented action.

Abstract: A system and method for egocentric-vision based future vehicle localization that include receiving at least one egocentric first person view image of a surrounding environment of a vehicle. The system and method also include encoding at least one past bounding box trajectory associated with at least one traffic participant that is captured within the at least one egocentric first person view image and encoding a dense optical flow of the egocentric first person view image associated with the at least one traffic participant. The system and method further include decoding at least one future bounding box associated with the at least one traffic participant based on a final hidden state of the at least one past bounding box trajectory encoding and the final hidden state of the dense optical flow encoding.

Abstract: The disclosed computer-implemented system and method for artificial-intelligence-based automated object identification and manipulation can include receiving a subsystem request from a third-party entity, the request being related to a subsystem for an object identification and manipulation system. The system and method also includes creating a developer request for a model suitable for the subsystem, the developer request including at least one approval condition. The system and method further includes evaluating a developer proposal received in response to the developer request, the developer proposal including a trained model, the evaluating including determining an accuracy level of the trained model, and the evaluating includes designating the trained model as an approved model if the developer proposal is approved. Also, the system and method includes providing the approved model to the third-party entity in response to the subsystem request.

Abstract: The disclosed computer-implemented method for artificial-intelligence-based automated surface inspection can include receiving customer data, a request for a targeted model, and compensation for the requested targeted model. The compensation can include an agreement to contribute the customer data and/or targeted model to be available for other third-party entities. The method can also include retrieving the pre-trained model from a pre-trained model pool. The pre-trained model can be related to objects in a second industry. The method can include generating the targeted model from the pre-trained model and the customer data. The targeted model can be related to mapping sensor data to surface anomalies. The method can also include providing the targeted model to the third-party entity. The method can further include updating a distributed blockchain structure to include the at least one of the customer data and the targeted model.