Abstract: Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feature embedding for the input image. In addition, the method includes training an impairment classifier with supervised learning utilizing a second set of images, impairment labels for each of the second set of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second set of images. The method further includes accessing a vehicle image captured by a camera on a vehicle, and providing the vehicle image to the impairment classifier as input, and the impairment classifier outputs a camera impairment from a set of camera impairment categories. Further, the vehicle image and the camera impairment are presented on a user interface.

Abstract: Transcript generation as part of automatic speech recognition may be guided using section types. Audio data is received for transcription. An initial transcript of the audio data may be generated and evaluated to determine a section type for the audio data. The section type may then be used to focus generation of a second version of the transcript on one speaker over another speaker.

Abstract: A computing and robotics learning platform includes a component ecosystem with gears, pucks, side plates and connectors configured to support the integration of globally available materials, such as rubber bands, pencils and popsicle sticks is described herein. Certain embodiments according to this disclosure include a platform device comprising a multi-layer processing structure capable of implementing student programs written in beginner or high-level programming languages without latency or performance degradation from processing tasks associated with low-level system functions, such as motor encoding.

Abstract: A computing and robotics learning platform includes a component ecosystem with gears, pucks, side plates and connectors configured to support the integration of globally available materials, such as rubber bands, pencils and popsicle sticks is described herein. Certain embodiments according to this disclosure include a platform device comprising a multi-layer processing structure capable of implementing student programs written in beginner or high-level programming languages without latency or performance degradation from processing tasks associated with low-level system functions, such as motor encoding.

Abstract: A computing and robotics learning platform includes a component ecosystem with gears, pucks, side plates and connectors configured to support the integration of globally available materials, such as rubber bands, pencils and popsicle sticks is described herein. Certain embodiments according to this disclosure include a platform device comprising a multi-layer processing structure capable of implementing student programs written in beginner or high-level programming languages without latency or performance degradation from processing tasks associated with low-level system functions, such as motor encoding.

Abstract: A computing and robotics learning platform includes a component ecosystem with gears, pucks, side plates and connectors configured to support the integration of globally available materials, such as rubber bands, pencils and popsicle sticks is described herein. Certain embodiments according to this disclosure include a platform device comprising a multi-layer processing structure capable of implementing student programs written in beginner or high-level programming languages without latency or performance degradation from processing tasks associated with low-level system functions, such as motor encoding.