Abstract: Disclosed are systems and methods for workload scheduling in compute clusters using coolant health monitoring to optimize performance. In-situ sensors measure coolant properties in liquid cooling loops of compute nodes. A processing unit analyzes sensor data to determine coolant health levels and reallocates workloads from nodes with degraded coolant to nodes with higher coolant health levels, preempting thermal failures. A machine learning model processes coolant sensor data and performance metrics to generate cooling efficiency scores for each node. A cluster management module dynamically distributes computational tasks based on cooling system assessments, optimizing cluster efficiency and maintaining performance.

Abstract: A method includes determining, using a processing device, a set of observations from coolant data, the coolant data being received from one or more sensors in an environment associated with a coolant. The method further includes determining, using a machine learning model and the set of observations, a contamination level of the coolant. The method also includes initiating an operation, using the processing device, responsive to determining the coolant contamination level.

Abstract: An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his “friends” (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Abstract: A method includes determining, using a processing device, a set of observations from coolant data, the coolant data being received from one or more sensors in an environment associated with a coolant. The method further includes determining, using a machine learning model and the set of observations, a contamination level of the coolant. The method also includes initiating an operation, using the processing device, responsive to determining the coolant contamination level.

Abstract: Methods and apparatus are described for high temperature assembly processes. In an example embodiment, a void defined by an expandable enclosure is filled with a quantity of gas. A clamping structure is configured to receive components to be joined and to apply a force from the surface of the enclosure to at least one of the components such that the components are urged together responsive to heating the quantity of gas. Example methods include providing a workpiece that comprises two or more components with a joining material disposed between them, providing an expandable enclosure that contains a volume of gas, heating the workpiece and the volume of gas, and coupling a force from the expandable enclosure to the workpiece such that the force urges the components together.

Abstract: A system and method to facilitate word-of-mouth advertising and sales support associated with displayed media objects on distributed networks is described. The system provides one or more advocates to a network user accessing advertising of a brand, product, or service. One or more of the advocates may be socially related to the user. User interactions with the advocates are facilitated through a real-time communication network, follow-on commercial activity is tracked, and the value of word-of-mouth advocacy is captured and distributed.

Abstract: Haptic effects have long been provided to enhance content, such as by providing vibrations, rumbles, etc. in a remote controller or other device being used by a user while watching or listening to the content. To date, haptic effects have either been provided by programming controls for the haptic effects within the content itself, or by providing an interface to audio that simply maps certain haptic effects with certain audio frequencies. The present disclosure provides a haptic control interface that intelligently induces haptic effects for content, in particular by using machine learning to detect specific features in content and then induce certain haptic effects for those features.

Abstract: Haptic effects have long been provided to enhance content, such as by providing vibrations, rumbles, etc. in a remote controller or other device being used by a user while watching or listening to the content. To date, haptic effects have either been provided by programming controls for the haptic effects within the content itself, or by providing an interface to audio that simply maps certain haptic effects with certain audio frequencies. The present disclosure provides a haptic control interface that intelligently induces haptic effects for content, in particular by using machine learning to detect specific features in content and then induce certain haptic effects for those features.

Abstract: An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his “friends” (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Abstract: An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his “friends” (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Abstract: A system for monetization of content includes a storage device for storage and retrieval of data, and a library of content and advertisements stored within the storage device. The library comprises an organizational structure for facilitating the storage and retrieval. The system also includes a monetization engine for identifying within the library a first content item having a first monetizable feature. The system is configured for selecting a second content item from several content items within the library, and associating the second content item to the first content item by using the first monetizable feature for presentation of the second content item in conjunction with the first content item. Further embodiments include various additional systems, methods, and computer readable media for implementation of the foregoing.

Abstract: A system for monetization of content includes a storage device for storage and retrieval of data, and a library of content and advertisements stored within the storage device. The library comprises an organizational structure for facilitating the storage and retrieval. The system also includes a monetization engine for identifying within the library a first content item having a first monetizable feature. The system is configured for selecting a second content item from several content items within the library, and associating the second content item to the first content item by using the first monetizable feature for presentation of the second content item in conjunction with the first content item. Further embodiments include various additional systems, methods, and computer readable media for implementation of the foregoing.

Abstract: A method and system are provided for targeting specific users with specific requested actions to be performed by the user and verified by any methods on behalf of an advertiser within an Internet display advertising campaign. The system discloses techniques for receiving an advertiser's requested actions and corresponding definitions of what constitutes a satisfaction of the action. The disclosure also details techniques for determining if and when and to what degree a requested action has been completed or satisfied by the targeted user, and details corresponding techniques for compensating the user and any other real or virtual entity who had contributed to the satisfaction of the requested action. The system implements a network of sensors that can aid in the determination of if and when and to what degree a requested action has been completed or satisfied. The network of sensors registers sensor recordings within a specialized sensor recording marketplace.

Abstract: A method for placing advertisements selects a first content from a variety of content, analyzes the first content for the presence of advertiser references, and matches a first advertisement from an advertiser to the first content by using the advertiser references. This method determines a set of presentation preferences for presentation of the first advertisement in conjunction with the first content and includes the set of presentation preferences with the first content. In some cases, the method embeds the presentation preferences as advertising information into the first content. Advantageously, the method presents the first advertisement in conjunction with the first content by using the presentation preferences. Further, the method tracks the presentation of content for monetization events and stores the tracking information in a log. The monetization event includes, for example, an impression, a click, an acquisition, and/or a conversion.

Abstract: A system for monetization of content includes a storage device for storage and retrieval of data, and a library of content and advertisements stored within the storage device. The library comprises an organizational structure for facilitating the storage and retrieval. The system also includes a monetization engine for identifying within the library a first content item having a first monetizable feature. The system is configured for selecting a second content item from several content items within the library, and associating the second content item to the first content item by using the first monetizable feature for presentation of the second content item in conjunction with the first content item. Further embodiments include various additional systems, methods, and computer readable media for implementation of the foregoing.

Abstract: “Smart bookmarks” are described which facilitate aggregation, sharing, and dynamic access to the content in which a particular user has an interest.

Abstract: A system and method to facilitate word-of-mouth advertising and sales support associated with displayed media objects on distributed networks is described. The system provides one or more advocates to a network user accessing advertising of a brand, product, or service. One or more of the advocates may be socially related to the user. User interactions with the advocates are facilitated through a real-time communication network, follow-on commercial activity is tracked, and the value of word-of-mouth advocacy is captured and distributed.

Abstract: A method includes discovering live video feeds. The discovered live feeds are presented on a website. The viewing of one or more live video feeds and interaction with entities that are generating the live video feeds is enabled.

Abstract: A system and method to facilitate word-of-mouth advertising and sales support associated with displayed media objects on distributed networks is described. The system provides one or more advocates to a network user accessing advertising of a brand, product, or service. One or more of the advocates may be socially related to the user. User interactions with the advocates are facilitated through a real-time communication network, follow-on commercial activity is tracked, and the value of word-of-mouth advocacy is captured and distributed.

Abstract: A system and method for presentation of media related to a context. A request is received over a network from a requesting device for media related to a context, wherein the request comprises at least one criteria. A query is formulated based on the context criteria so as to search, via the network, for user profile data, social network data, spatial data, temporal data and topical data that is available via the network and relates to the context and to media files so as to identify at least one media file that is relevant to the context criteria. A playlist is assembled via the network containing a reference to the media files. The media files on the playlist are transmitted over the network to the requesting device.