Abstract: A method includes identifying a first three-dimensional (3D) object comprising a first animation rig covering a first set of features associated with the first 3D object. An indication of the first 3D object is provided as input to a machine-learning model. The machine-learning model is trained to generate, using a second 3D object comprising a second animation rig, an animation sequence for the first 3D object. The second animation rig covers a second set of features associated with the second 3D object and the second set of features comprises the first set of features and one or more additional features. One or more outputs of the machine-learning model is obtained. The one or more obtained outputs comprise a plurality of animation frames reflecting an animation sequence for the first 3D object.

Abstract: In an approach to customizing meeting notes, a computer receives audio input of a virtual meeting, converts the audio input to text, and displays the text to a plurality of meeting participants. A computer receives highlighted phrases of the text from the plurality of meeting participants and determines a highlighting frequency of each of the highlighted phrases. A computer determines phrases with a highlighting frequency greater than a pre-defined threshold. A computer orders the phrases based on a chronological order of the phrases in the audio input. A computer determines preferences of a first meeting participant associated with a meeting summary. A computer generates a customized summary of the virtual meeting for the first meeting participant of the plurality of meeting participants based on the ordered phrases with a high frequency of highlighting and on the preferences. A computer transmits the customized summary to the first meeting participant.

Abstract: In an approach to customizing meeting notes, a computer receives audio input of a virtual meeting, converts the audio input to text, and displays the text to a plurality of meeting participants. A computer receives highlighted phrases of the text from the plurality of meeting participants and determines a highlighting frequency of each of the highlighted phrases. A computer determines phrases with a highlighting frequency greater than a pre-defined threshold. A computer orders the phrases based on a chronological order of the phrases in the audio input. A computer determines preferences of a first meeting participant associated with a meeting summary. A computer generates a customized summary of the virtual meeting for the first meeting participant of the plurality of meeting participants based on the ordered phrases with a high frequency of highlighting and on the preferences. A computer transmits the customized summary to the first meeting participant.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program retrieves a plurality of transaction data from a storage. Each transaction data in the plurality of transaction data includes an item and an amount associated with the item. Based on the plurality of transaction data, the program further determines a set of range of amounts. Based on the set of range of amounts and a set of data objects, the program also determining a set of categories. Each data object in the set of data objects belongs to a category in the set of categories.