Abstract: A CPE device may include a plurality of CPE modules implemented in hardware. The plurality of CPE modules may include a first module and a second module. The first module and the second module may be arrangeable in a stacked configuration. The first module may include a first interconnection interface component disposed on a top surface of the first module. The second module may include a second interconnection interface component disposed on a bottom surface of the second module. The second interconnection interface component may be configured to complementarily couple to the first interconnection interface component when the first module and the second module are arranged in the stacked configuration.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: Techniques for face tracking comprise receiving landmark data associated with a plurality of images indicative of at least one facial part. Representative images corresponding to the plurality of images may be generated based on the landmark data. Each representative image may depict a plurality of segments, and each segment may correspond to a region of the at least one facial part. The plurality of images and corresponding representative images may be input into a neural network to train the neural network to predict a feature associated with a subsequently received image comprising a face. An animation associated with a facial expression may be controlled based on output from the trained neural network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: The present disclosure describes techniques for facial expression recognition. A first loss function may be determined based on a first set of feature vectors associated with a first set of images depicting facial expressions and a first set of labels indicative of the facial expressions. A second loss function may be determined based on a second set of feature vectors associated with a second set of images depicting asymmetric facial expressions and a second set of labels indicative of the asymmetric facial expressions. The first loss function and the second loss function may be used to determine a maximum loss function. The maximum loss function may be applied during training of a model. The trained model may be configured to predict at least one asymmetric facial expression in a subsequently received image.

Abstract: The present disclosure describes techniques for face tracking. The techniques comprise receiving landmark data associated with a plurality of images indicative of at least one facial part. Representative images corresponding to the plurality of images may be generated based on the landmark data. Each representative image may depict a plurality of segments, and each segment may correspond to a region of the at least one facial part. The plurality of images and corresponding representative images may be input into a neural network to train the neural network to predict a feature associated with a subsequently received image comprising a face. An animation associated with a facial expression may be controlled based on output from the trained neural network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

Abstract: In an embodiment, speech may be acquired from a user. A concept, that may be associated with the user, may be identified from the acquired speech. The concept may be identified by fuzzy matching one or more words in the acquired speech with data contained in a data store. The data store may be associated with the user. An action may be performed based on the identified concept.

Abstract: Some embodiments relate to techniques for receiving a query from a device and location data indicating a location of the device, the location data having a level of specificity; in response to the query being received, identifying at least one first search engine to which to submit a representation of the query; determining whether the level of specificity of the received location data is sufficient for the at least one first search engine; if the level of specificity of the location data is sufficient, instructing the device to issue the representation of the query to the at least one first search engine; and if the level of specificity of the location data is not sufficient, instructing the device to send, to the at least one computer, location data at a greater level of specificity.

Abstract: Some embodiments relate to techniques for receiving a query from a device and location data indicating a location of the device, the location data having a level of specificity; in response to the query being received, identifying at least one first search engine to which to submit a representation of the query; determining whether the level of specificity of the received location data is sufficient for the at least one first search engine; if the level of specificity of the location data is sufficient, instructing the device to issue the representation of the query to the at least one first search engine; and if the level of specificity of the location data is not sufficient, instructing the device to send, to to the at least one computer, location data at a greater level of specificity.

Abstract: Some embodiments relate to techniques for receiving a query comprising content; in response to the query being received, determining that the content may have at least a first semantic meaning or a second semantic meaning that is different than the first semantic meaning; and identifying a plurality of search engines to which to submit a representation of the query, the plurality of search engines comprising a first search engine identified based on the first semantic meaning and a second search engine identified based on the second semantic meaning.

Abstract: A movie authoring process is disclosed which includes: selecting a theme, determining theme elements based on the theme selection, and adding the theme elements to a movie. An automated movie authoring process is also disclosed which includes: automatically capturing raw video footage from a video source; automatically dividing the raw video footage into video clips, wherein the video clips collectively constitute a movie; automatically determining one or more theme elements from a plurality of theme elements based on a selected theme; and automatically adding the one or more determined theme elements to the movie.

Abstract: A general purpose network tone detection method and apparatus that allows the precise and accurate recognition of North American tones (MF, DTMF (Dual-Tone Multifrequency), and CPT (Call Progress Tones)) and international MF-R2 tones as well as taking into consideration other common tones such as Calling Card Service Prompt and Recall Dial. Through the use of the Discrete Fourier Transform (DFT) on small time windows and by providing phase continuity between these windows, the results of the successive DFTs may be combined and processed by a second DFT computation. This second DFT allows higher frequency resolution without requiring the re-computation of the DFT from the time samples. The resulting effect is a tone receiver with both high time and frequency resolution which consequently leads to robust and accurate tone recognition systems conforming even to the most stringent specification while maintaining low computational requirements.