A computer-implemented method executed by one or more processors, the method includes monitoring execution of program code executed by a first processor component; and monitoring execution of program code executed by a second processor component. A computing system stores data identifying hardware events in a memory buffer. The stored events occur across processor units that include at least the first and second processor components. The hardware events each include an event time stamp and metadata characterizing the event. The system generates a data structure identifying the hardware events. The data structure arranges the events in a time ordered sequence and associates events with at least the first or second processor components. The system stores the data structure in a memory bank of a host device and uses the data structure to analyze performance of the program code executed by the first or second processor components.

Embodiments of the present disclosure set forth a computer-implemented method for identifying an object within an environment comprising receiving, via at least one sensor, first sensor data associated with an environment, storing, in a memory, the first sensor data in association with a first scene, and in response to receiving a user request for information associated with the environment, selecting, based on the user request, the first scene, accessing, via the memory, the first sensor data associated with the first scene, and, analyzing the first sensor data to identify a first object included in the first scene, and causing information associated with the first object to be output via at least one output device.

In some implementations, a user device may access a media presentation that includes metadata describing related content item(s). The user device viewing the media presentation is allowed to access content related to portions of the media presentation at times appropriate for the particular related content item(s). The related content item(s) may be provided automatically or based on user input triggering download or copying of a particular related content item, such as to a clipboard of the user device. A computing device may generate a media presentation that includes related content item(s) as metadata in some implementations. The media presentation may be generated by recording a live presentation, assembling one or more media portions, and/or obtaining a complete media presentation and modifying the media presentation to add the related content item(s) and when, while presenting the media presentation on a user device, to allow access to the related content item(s).

Systems and methods for receiving a set of media content items including a geohash defining a captured time and a captured location of the media content item, identifying a first subset of media content items from the set of media content items comprising a geohash that equals a precision level threshold, and identifying a second subset of media content items from the set of media content items that include a geohash that exceeds the precision level threshold. The system also includes generating a timeline media content item collection including the second subset of media content items each including a geohash that exceeds the precisions level threshold, and causing display of a media content collection interface, the media content collection interface including the timeline media content item collection.

The invention provides a method and system for enabling a user (100) to identify one or more information items which the user (100) or another party has previously accessed, the method comprising the steps of: recording in a computer readable storage medium concurrent attributes (101) concerning one or more events or computer system states occurring concurrently with the previous access of the information items by the user (100) or other party; receiving a search request specification (102) from the user (100) seeking to find one of the previously accessed information items, the search request specification comprising one or more specified concurrent attributes (30,40,50) including at least one unrelated concurrent attribute (50) which bears no relation, other than concurrence, to the previously accessed information item being sought or to the previous access thereof; accessing the recorded concurrent attributes and identifying to the user one or more of the previously accessed information items which satisfy the search request specification.

A method of organizing streamed data includes storing streamed data in a file, identifying metadata applicable to a subset of the streamed data, and forming at least one group of one or more samples of the streamed data, each sample in a group having identical metadata content for a metadata type. The file may be in accordance with ISO base media file format. The storing streamed data in a file may include storing in a reception hint track. The at least one group may be indicated in a sample group description box. The metadata type may be indicated by a grouping type and grouping instance data, the grouping type specifying semantics of the grouping instance data and the metadata content. The metadata content may comprise a metadata payload and zero or more metadata payload extensions, where the metadata payload is included in a first structure and the zero or more metadata payload extensions are included in a second structure.

A machining management apparatus includes a tool information storage storing therein information relating to each cutting tool used in a machine tool and storing therein a coefficient n and a coefficient C in a tool life equation corresponding to tool life influencing factors including at least a workpiece and a cutting tool material, and an adapted cutting speed calculator executing a machining condition receiving processing of receiving information on the tool life influencing factors and information on a desired cutting speed, a coefficient recognition processing of recognizing the coefficient n and the coefficient C corresponding to the tool life influencing factors by referring to the tool information storage based on the received tool life influencing factor information, and a cutting speed calculation processing of calculating a cutting speed adapted to the desired cutting time according to the tool life equation based on the recognized coefficient n and coefficient C.

Systems and methods are directed to auto-adjusting play time of slides based on content intelligence. The system accesses media comprising a plurality of media items, wherein a media item of the plurality of media items comprises a first content type. The system performs machine analysis associated with the first content type. Based on the machine analysis, the system determines a first display time for the first content type and derives a total display time for the media item based on the first display time. If the media item includes a second content type, then the system performs machine analysis associated with the second content type and determines a second display time for the second content type. The total display time now comprises an aggregation of the first and second display times. The system can cause a machine action based on the total display time.

In accordance with some embodiments, a method includes displaying a representation of a first automatically-generated playlist, the representation of the first automatically-generated playlist including representations of a first set of media items selected for inclusion in the first automatically-generated playlist based on first playlist generation criteria for the first automatically-generated playlist. While displaying the first automatically-generated playlist, detecting user interaction with the representations of the first set of media items, and then detecting that a first update criterion for the first automatically-generated playlist has been met. In response, the method includes updating the first set of media items based on the first playlist generation criteria and the user interaction with the representations of the first set of media items—by adding or removing one or more removed media items from the first set of media items, and/or maintaining media items in the first set of media items.

Techniques of generating a knowledge graph metadata network (metadata network) for digital asset management (DAM) are described. A DAM logic/module can obtain one or more first metadata assets describing characteristics associated with digital assets (DAs) in the DA collection. The DAM logic/module can also determine second metadata asset(s) and third metadata asset (s) describing characteristics associated with DAs in the DA collection based on the first metadata asset(s). The DAM logic/module can generate at least some of the metadata assets as nodes in a metadata network associated with the DA collection. The DAM logic/module can also determine, for at least two of the metadata assets, a correlation between the at least two metadata assets. The DAM logic/module can generate an edge in the metadata network between the nodes that represent the at least two metadata assets to represent the determined correlation.