Abstract: Coffee compositions that are derived from medium- and high-yield extracts while also having improved taste and aroma. Processes for producing such coffee compositions are also disclosed.

Abstract: Coffee compositions that are derived from medium- and high-yield extracts while also having improved taste and aroma. Processes for producing such coffee compositions are also shown.

Abstract: Methods and systems are described for an intelligent messaging platform between users to foster more an immersive and creative messaging environment. In various examples, systems and methods may receive, via a device associated with a user, a media input. Context associated with the media input may be determined. The creation of a media item may be based on the media input and context associated with the media input. The creation of a media item may be based on the use of a machine learning model. The media may be provided to a user or group of users via one or more user devices associated with the users.

Abstract: Coffee compositions that are derived from medium- and high-yield extracts while also having improved taste and aroma. Processes for producing such coffee compositions are also disclosed.

Abstract: Process for producing coffee compositions that are derived from medium-and high-yield extracts while also having improved taste and aroma. Coffee compositions produced from such processes are also disclosed.

Abstract: The present disclosure provides a method for generating a video of a body moving in synchronization with music by applying a first artificial neural network (ANN) to a sequence of samples of an audio waveform of the music to generate a first latent vector describing the waveform and a sequence of coordinates of points of body parts of the body, by applying a first stage of a second ANN to the sequence of coordinates to generate a second latent vector describing movement of the body, by applying a second stage of the second ANN to static images of a person in a plurality of different poses to generate a third latent vector describing an appearance of the person, and by applying a third stage of the second ANN to the first latent vector, the second latent vector, and the third latent vector to generate the video.

Abstract: The present disclosure provides a method for generating a video of a body moving in synchronization with music by applying a first artificial neural network (ANN) to a sequence of samples of an audio waveform of the music to generate a first latent vector describing the waveform and a sequence of coordinates of points of body parts of the body, by applying a first stage of a second ANN to the sequence of coordinates to generate a second latent vector describing movement of the body, by applying a second stage of the second ANN to static images of a person in a plurality of different poses to generate a third latent vector describing an appearance of the person, and by applying a third stage of the second ANN to the first latent vector, the second latent vector, and the third latent vector to generate the video.

Abstract: The present invention relates to a beverage composition comprising green coffee solids and hops solids.

Abstract: Techniques are disclosed for generating audio based on visual information. In some examples, an audio generation system is trained using supervised learning using a training set generated from videos. The trained audio generation system is able to infer audio for provided silent video based on the visual contents of the silent video, and generate raw waveform samples that represent the inferred audio.