Abstract: Systems and methods generate code from a source program where the generated code may be compiled and executed on a Graphics Processing Unit (GPU). A parallel loop analysis check may be performed on regions of the source program identified for parallelization. One or more optimizations also may be applied to the source program that convert mathematical operations into a parallel form. The source program may be partitioned into segments for execution on a host and a device. Kernels may be created for the segments to be executed on the device. The size of the kernels may be determined, and memory transfers between the host and device may be optimized.

Abstract: Making a determination of originality of content is disclosed. At least one originality factor related to the content is analyzed, wherein the originality factor is independent of a time when the content is detected. Based on the analysis of the at least one originality factor, automatically the determination is automatically made. The determination is outputted.

Abstract: Systems and methods may automatically generate code for deep learning networks. The systems methods may provide a code generation framework for generating target specific code. The code generation framework may include one or more predefined class hierarchies for constructing objects of the generated code. The objects of the class hierarchies may provide an interface to predefined libraries of deep learning functions optimized for use on a target platform. The systems and methods may perform one or more optimizations on the code being generated.

Abstract: Systems and methods generate code from a source program where the generated code may be compiled and executed on a Graphics Processing Unit (GPU). A parallel loop analysis check may be performed on regions of the source program identified for parallelization. One or more optimizations also may be applied to the source program that convert mathematical operations into a parallel form. The source program may be partitioned into segments for execution on a host and a device. Kernels may be created for the segments to be executed on the device. The size of the kernels may be determined, and memory transfers between the host and device may be optimized.

Abstract: Systems and methods may automatically generate code for deep learning networks. The systems methods may provide a code generation framework for generating target specific code. The code generation framework may include one or more predefined class hierarchies for constructing objects of the generated code. The objects of the class hierarchies may provide an interface to predefined libraries of deep learning functions optimized for use on a target platform. The systems and methods may perform one or more optimizations on the code being generated.

Abstract: A content hosting service provides an interface for enabling content owners to upload controlled video and specify conditions for monitoring and hosting it on the hosting service. Plural fingerprints are extracted from the controlled video and used to detect use of the controlled video on pages of the hosting service. The fingerprint extraction and evaluation enables extent of copying to be determined. The interface also allows owners to specify context in which controlled video may be used. Results of monitoring are provided in a graphical user interface that depicts matches of the controlled video and extent of copying of the controlled video in matching monitored video.

Abstract: Making a determination of originality of content is disclosed. At least one originality factor related to the content is analyzed, wherein the originality factor is independent of a time when the content is detected. Based on the analysis of the at least one originality factor, automatically the determination is automatically made. The determination is outputted.

Abstract: Making a determination of originality of content is disclosed. At least one originality factor related to the content is analyzed, wherein the originality factor is independent of a time when the content is detected. Based on the analysis of the at least one originality factor, automatically the determination is automatically made. The determination is outputted.

Abstract: Making a determination of originality of content is disclosed. At least one originality factor related to the content is analyzed, wherein the originality factor is independent of a time when the content is detected. Based on the analysis of the at least one originality factor, automatically the determination is automatically made. The determination is outputted.

Abstract: This disclosure relates, e.g., to governing distribution of content on a web-based service. One aspect of the disclosure relates to a system comprising various interfaces, e.g., for: i) receiving content posted to a web-based service, for distribution by the web-based service to the public, and ii) presenting for review one or more items of user-posted content hosted by the web-based service that are identified as a match with identified copyrighted content, and receiving, via an interface for use in confirming the match, information regarding the match, ii) distributing the received content from the web-based service along with an attribution associated with the identified copyrighted content. A great variety of other aspects, claims, features and arrangements are also detailed.

Abstract: Evaluating content is disclosed. Evaluating includes determining a host policy associated with one or more host policy rules, wherein the host policy specifies one or more conditions under which the content may be hosted, automatically assessing compliance with the one or more host policy rules based at least in part on a context associated with the use of the content, and combining the compliance assessments to make a compliance evaluation.

Abstract: Making a determination of originality of content is disclosed. At least one originality factor related to the content is analyzed, wherein the originality factor is independent of a time when the content is detected. Based on the analysis of the at least one originality factor, automatically the determination is automatically made. The determination is outputted.

Abstract: Responding to a use of controlled content is disclosed. Responding includes receiving an indication of the use of the controlled content including a context of the use of the controlled content, automatically determining using the context an engagement action for responding to the use, and automatically initiating the engagement action.

Abstract: This disclosure relates, e.g., to governing distribution of content on a web-based service.

Abstract: Evaluating content is disclosed. Evaluating includes determining a host policy associated with one or more host policy rules, wherein the host policy specifies one or more conditions under which the content may be hosted, automatically assessing compliance with the one or more host policy rules based at least in part on a context associated with the use of the content, and combining the compliance assessments to make a compliance evaluation.

Abstract: Video content uploaded from a user, and received at a web-based service, is processed to compute fingerprint data. By reference to the fingerprint data, controlled content included within the received content is identified. A similarity score between the controlled content and the received content is determined. Usage rule data to be applied to the received video content is selected (e.g., based, at least in part, on the determined similarity score), and is applied in governing distribution of the received video content from the web-based service. In some arrangements, the owner of the controlled content is identified, and selection of rule data depends on the identified owner. The owner may have established multiple usage rules, and selection between them may be based, e.g., on a percentage of the controlled content that is included in the received video content. A great variety of other features and arrangements are also detailed.

Abstract: Video content uploaded from a user, and received at a web-based service, is processed to compute fingerprint data. By reference to the fingerprint data, controlled content included within the received content is identified. A similarity score between the controlled content and the received content is determined. Usage rule data to be applied to the received video content is selected (e.g., based, at least in part, on the determined similarity score), and is applied in governing distribution of the received video content from the web-based service. In some arrangements, the owner of the controlled content is identified, and selection of rule data depends on the identified owner. The owner may have established multiple usage rules, and selection between them may be based, e.g., on a percentage of the controlled content that is included in the received video content. A great variety of other features and arrangements are also detailed.

Abstract: Evaluating content is disclosed. Evaluating includes determining a host policy associated with one or more host policy rules, wherein the host policy specifies one or more conditions under which the content may be hosted, automatically assessing compliance with the one or more host policy rules based at least in part on a context associated with the use of the content, and combining the compliance assessments to make a compliance evaluation.

Abstract: Making a determination of originality of content is disclosed. At least one originality factor related to the content is analyzed, wherein the originality factor is independent of a time when the content is detected. Based on the analysis of the at least one originality factor, automatically the determination is automatically made. The determination is outputted.

Abstract: Responding to a use of controlled content is disclosed. Responding includes receiving an indication of the use of the controlled content including a context of the use of the controlled content, automatically determining using the context an engagement action for responding to the use, and automatically initiating the engagement action.