A trained machine learning model identifies that a real-world apparatus has a failed component, which trained machine learning model has been trained with a training corpus that includes content generated by synthesizing a plurality of synthesized operatin...

A method of a pixel based with object based decision making for driving, the method includes receiving, at a first machine learning process of an artificial intelligence agent, a sensed information unit; receiving, at a second machine learning process of t...

A pre-trained machine-learned model, pre-generated clusters determined from embeddings generated by the machine-learned model, and/or difficulty metric(s) determined from simulation and associated with the clusters may be transmitted to and used on a vehic...

A method, system, a vehicle and a computer-readable storage medium for lane assignment of a roadside traffic object present on a road. The method includes obtaining sensor data of an ego vehicle comprising an Automated Driving System (ADS) and traveling on...