Abstract: An exercise recommendation system determines workout plans for users. The exercise recommendation system receives a profile of a user and a level of variance selected by the user. The profile includes a history of exercises the user has performed, available gym equipment, and exercise goals. The exercise recommendation system inputs the profile to a machine learning model configured to rank a set of exercises for a user to perform. The exercise recommendation system modifies the ranking of exercises based on the level of variance selected by the user. Modification of the ranking is greater for a first level of variance than for a second level of variance less than the first level of variance. The exercise recommendation system generates a workout plan for display within a user interface to the user based on the modified ranking.

Abstract: A virtualization platform for Network Functions Virtualization (NFV) is provided. The virtualization platform may include a host processor coupled to an acceleration coprocessor. The acceleration coprocessor may be a reconfigurable integrated circuit to help provide improved flexibility and agility for the NFV. The coprocessor may include multiple virtual function hardware acceleration modules each of which is configured to perform a respective accelerator function. A virtual machine running on the host processor may wish to perform multiple accelerator functions in succession at the coprocessor on a given data. In one suitable arrangement, intermediate data output by each of the accelerator functions may be fed back to the host processor. In another suitable arrangement, the successive function calls may be chained together so that only the final resulting data is fed back to the host processor.

Abstract: According to an aspect, a method for ranking messages of conversation graphs in a messaging platform using machine-learning signals includes receiving a conversation view request to retrieve messages of a conversation graph stored on a messaging platform and determining a plurality of predictive outcomes for each of a plurality of messages of the conversation graph using predictive models. The determining step may include obtaining a plurality of signals relevant to the predictive models, the plurality of signals including data structure-related signals relating to the conversation graph and inputting the plurality of signals to the predictive models. The method includes ranking the plurality of messages based on the predictive outcomes and transmitting at least a subset of the plurality of messages to be rendered on a client application according to the rank.

Abstract: A virtualization platform for Network Functions Virtualization (NFV) is provided. The virtualization platform may include a host processor coupled to an acceleration coprocessor. The acceleration coprocessor may be a reconfigurable integrated circuit to help provide improved flexibility and agility for the NFV. The coprocessor may include multiple virtual function hardware acceleration modules each of which is configured to perform a respective accelerator function. A virtual machine running on the host processor may wish to perform multiple accelerator functions in succession at the coprocessor on a given data. In one suitable arrangement, intermediate data output by each of the accelerator functions may be fed back to the host processor. In another suitable arrangement, the successive function calls may be chained together so that only the final resulting data is fed back to the host processor.

Abstract: Techniques and mechanisms provide a flexible mapping for physical functions and virtual functions in an environment including virtual machines.

Abstract: The disclosed technology relates to a network agent for reporting to a network policy system. A network agent includes an agent enforcer and an agent controller. The agent enforcer is configured to implementing network policies on the system, access data associated with the implementation of the network policies on the system, and transmit, via an interprocess communication, the data to the agent controller. The agent controller is configured to generate a report including the data and transmit the report to a network policy system.

Abstract: Techniques and mechanisms provide a flexible mapping for physical functions and virtual functions in an environment including virtual machines.

Abstract: The disclosed technology relates to a network agent for reporting to a network policy system. A network agent includes an agent enforcer and an agent controller. The agent enforcer is configured to implementing network policies on the system, access data associated with the implementation of the network policies on the system, and transmit, via an interprocess communication, the data to the agent controller. The agent controller is configured to generate a report including the data and transmit the report to a network policy system.

Abstract: Techniques perform data input and output. For example, there is provided a technique for updating a data pattern table. The technique involves: during a time period for establishing or updating the data pattern table: receiving a data write request; making statistics of a frequency of data being written; and writing data frequently used and an identification of the data to a corresponding entry of the data pattern table based on a result of the statistics. Using such a technique, a data pattern table can be customized and data storage efficiency can be improved.

Abstract: A virtualization platform for Network Functions Virtualization (NFV) is provided. The virtualization platform may include a host processor coupled to an acceleration coprocessor. The acceleration coprocessor may be a reconfigurable integrated circuit to help provide improved flexibility and agility for the NFV. The coprocessor may include multiple virtual function hardware acceleration modules each of which is configured to perform a respective accelerator function. A virtual machine running on the host processor may wish to perform multiple accelerator functions in succession at the coprocessor on a given data. In one suitable arrangement, intermediate data output by each of the accelerator functions may be fed back to the host processor. In another suitable arrangement, the successive function calls may be chained together so that only the final resulting data is fed back to the host processor.

Abstract: A surface covering is provided. The surface covering includes a laminated panel having top layer and an ultra-violet (UV) curable surface coating applied to the laminated panel. The ultra-violet (UV) curable surface coating has a composition with an oligomer, a monomer, a photoinitiator, abrasive resistant particles, and an antimicrobial additive.

Abstract: Examples disclosed herein provide a computing device with a kickstand. The computing device can determine an angle of a front surface of a display member of the computing with respect to a base member rotatably connected to the display member. Upon the angle exceeding a threshold value, the computing device can automatically eject the kickstand from a back surface of the display member.

Abstract: The production and deployment of models for relating input variables to output variables can be improved through the use of containers. Conventional methods for creating and deploying models suffer from problems such as having to transmit large amounts of data, having to re-train models each time they are executed, behavioral inconsistencies between model instances, and compatibility issues between a model and a host computing environment. The use of containers for generating and deploying models can help mitigate these issues. Systems and methods are provided for generating lightweight and standalone container images that can be executed reliably within a variety of computing environments. A model is paired with a contextual application for using the model in a particular context. Models can be re-used in different contexts when paired with different contextual applications.

Abstract: A virtualization platform for Network Functions Virtualization (NFV) is provided. The virtualization platform may include a host processor coupled to an acceleration coprocessor. The acceleration coprocessor may be a reconfigurable integrated circuit to help provide improved flexibility and agility for the NFV. The coprocessor may include multiple virtual function hardware acceleration modules each of which is configured to perform a respective accelerator function. A virtual machine running on the host processor may wish to perform multiple accelerator functions in succession at the coprocessor on a given data. In one suitable arrangement, intermediate data output by each of the accelerator functions may be fed back to the host processor. In another suitable arrangement, the successive function calls may be chained together so that only the final resulting data is fed back to the host processor.

Abstract: Techniques perform data input and output. For example, there is provided a technique for updating a data pattern table. The technique involves: during a time period for establishing or updating the data pattern table: receiving a data write request; making statistics of a frequency of data being written; and writing data frequently used and an identification of the data to a corresponding entry of the data pattern table based on a result of the statistics. Using such a technique, a data pattern table can be customized and data storage efficiency can be improved.

Abstract: A virtualization platform for Network Functions Virtualization (NFV) is provided. The virtualization platform may include a host processor coupled to an acceleration coprocessor. The acceleration coprocessor may be a reconfigurable integrated circuit to help provide improved flexibility and agility for the NFV. To help improve performance predictability, a hierarchical accelerator registry may be maintained on the coprocessor and/or on local servers. The accelerator registry may assign different classes and speed grades to various types of available resources to help the virtualized network better predict certain task latencies. The accelerator registry may be periodically updated based on changes detected in the local storage and hardware or based on changes detected in remote networks.

Abstract: A surface covering is provided and includes an upper section of laminated polymeric layers and an acoustical section for dissipating sound waves.

Abstract: Examples disclosed herein provide a computing device with a kickstand. The computing device can determine an angle of a front surface of a display member of the computing with respect to a base member rotatably connected to the display member. Upon the angle exceeding a threshold value, the computing device can automatically eject the kickstand from a back surface of the display member.

Abstract: Techniques and mechanisms provide a flexible mapping for physical functions and virtual functions in an environment including virtual machines.

Abstract: Techniques and mechanisms provide a flexible mapping for physical functions and virtual functions in an environment including virtual machines.