Abstract: A vehicle light system includes a plurality of light banks connected to a vehicle and configured to project light that radiates away from the vehicle. Each light bank includes a plurality of light sources. An image sensor, such as a camera, is connected to the vehicle and is configured to generate image data corresponding to a scene about the vehicle. A controller is connected to the light banks and the image sensor. The controller is configured to receive the image data, and execute an object detection machine learning model based on the image data to detect an object, determine a location of the object, and classify the detected object. The controller is configured to then select and dim one or more of the plurality of light sources based on the output of the object detection machine learning model. The dimming can vary based on the object class.

Abstract: A technique may include receiving, by a management service a plurality of instance configurations from a client device. The technique may then include receiving, by the management service, information identifying a launch request for a compute instance. The technique may include determining, by the management service, one or more candidate shapes for the compute instance based at least in part on the plurality of instance configurations. The technique may include selecting, by the management service and from the one or more candidate shapes, a launch shape for the compute instance and launching the compute instance using the launch shape. The technique may then include providing, the client device access to the compute instance, launched based on the launch shape.

Abstract: A computer-implemented method for facilitating a virtual meet-and-greet between a first client device, a second client device, and at least a third client device is provided. The method involves establishing a first private one-on-one video chat between the first client device and the second client device. The method also involves transmitting a request to the third client device to carry out one or more preloading operations to test the operation of one or more hardware and/or software elements of the third client device. The method further involves establishing a second private one-on-one video chat between the first client device and the third client device based at least in part on the third client device have successfully completed the preloading operations and being ready to establish a private one-on-one video chat.

Abstract: A computer-implemented method for facilitating a virtual meet-and-greet between a first client device, a second client device, and at least a third client device is provided. The method involves establishing a first private one-on-one video chat between the first client device and the second client device. The method also involves transmitting a request to the third client device to carry out one or more preloading operations to test the operation of one or more hardware and/or software elements of the third client device. The method further involves establishing a second private one-on-one video chat between the first client device and the third client device based at least in part on the third client device have successfully completed the preloading operations and being ready to establish a private one-on-one video chat.

Abstract: A system and method including receiving vibration spectrum data from a plurality of different assets; determining, based on a shape of the vibration spectrum data for each of the plurality of assets, clusters for the plurality of assets, assets being grouped in a same cluster having vibration spectrum data of a similar spectral shape; determining for each of the clusters, based on an application of domain derived pattern recognition rules for the vibration spectrum data, one of a plurality of fault classifications; generating an output including an association of each of the plurality of assets with the fault classification of the cluster in which the particular asset is grouped; and saving a record of the output.