Abstract: A system operating on a digital platform includes tokens of various types that represent and that record transactions on the digital platform. Each transaction, which may give rise to an enforceable right, is conducted and recorded on the digital platform by operation of a smart contract. Each token may represent an enforceable right, a currency unit, a fungible object or a non-fungible object. The enforceable right may be a tangible right of a real property or derived from a token based on the tangible property right.

Abstract: A video editing program is taught by machine learning to conform a video sequence to a known style. For example, some famous filmmakers (e.g., Steven Spielberg, Michael Bay) have signature cinematic “takes” that appear in their acclaimed works. Such takes may involve use of subject tracking, placements and movements of people or objects in the scene, and lighting intensities or shadows in the scene. The editing program may be trained to recognize video sequences that can be modified to conform to one or more of such signature styles and to offer the modification to the user at the user's option.

Abstract: A video editing program is taught by machine learning to conform a video sequence to a known style. For example, some famous filmmakers (e.g., Steven Spielberg, Michael Bay) have signature cinematic “takes” that appear in their acclaimed works. Such takes may involve use of subject tracking, placements and movements of people or objects in the scene, and lighting intensities or shadows in the scene. The editing program may be trained to recognize video sequences that can be modified to conform to one or more of such signature styles and to offer the modification to the user at the user's option.

Abstract: A method for generating incentives to a user as reward for the user’s on-line activities includes (a) tracking a user’s visits to one or more websites, including the duration of each webpage served at each visit and each purchase made; and (b) determining an award of incentives based on a non-deterministic process that takes into account the user’s visits of the websites. The method may be carried out in a server which receives information regarding the user’s visits from an app that is configured to run on a mobile device on which the user carries out the visits to the websites. The incentives are provided to each user as reward credits accumulated in a database accessible from the server. The non-deterministic process is further based on reward credits accumulated independently of the user’s visits.

Abstract: A video editing program is taught by machine learning to conform a video sequence to a known style. For example, some famous filmmakers (e.g., Steven Spielberg, Michael Bay) have signature cinematic “takes” that appear in their acclaimed works. Such takes may involve use of subject tracking, placements and movements of people or objects in the scene, and lighting intensities or shadows in the scene. The editing program may be trained to recognize video sequences that can be modified to conform to one or more of such signature styles and to offer the modification to the user at the user's option.

Abstract: A method for synchronizing content between a first electronic device and a second electronic device in response to an input signal, includes: (a) receiving a first synchronization signal from the first computing device that is based on the input signal being received in the first electronic device; (b) mapping the first synchronization signal to a second synchronization signal based on mapping information accessible to the second electronic device, wherein the second synchronization signal includes information not represented by the first synchronization signal; and (c) transmitting the second synchronization signal to the second electronic device for processing, wherein (i) the input signal comprises one or more sensors; (ii) the first electronic device comprises a controller that interprets the input signal to provide the first synchronization signal, and (iii) the second electronic device comprises an actuator and wherein the second synchronization signal corresponds to a command for actuation in the secon

Abstract: A video editing program is taught by machine learning to conform a video sequence to a known style. For example, some famous filmmakers (e.g., Steven Spielberg, Michael Bay) have signature cinematic “takes” that appear in their acclaimed works. Such takes may involve use of subject tracking, placements and movements of people or objects in the scene, and lighting intensities or shadows in the scene. The editing program may be trained to recognize video sequences that can be modified to conform to one or more of such signature styles and to offer the modification to the user at the user's option.

Abstract: A video editing program is taught by machine learning to conform a video sequence to a known style. For example, some famous filmmakers (e.g., Steven Spielberg, Michael Bay) have signature cinematic “takes” that appear in their acclaimed works. Such takes may involve use of subject tracking, placements and movements of people or objects in the scene, and lighting intensities or shadows in the scene. The editing program may be trained to recognize video sequences that can be modified to conform to one or more of such signature styles and to offer the modification to the user at the user's option.

Abstract: A method for synchronizing content between a first electronic device and a second electronic device in response to an input signal, includes: (a) receiving a first synchronization signal from the first computing device that is based on the input signal being received in the first electronic device; (b) mapping the first synchronization signal to a second synchronization signal based on mapping information accessible to the second electronic device, wherein the second synchronization signal includes information not represented by the first synchronization signal; and (c) transmitting the second synchronization signal to the second electronic device for processing, wherein (i) the input signal comprises one or more sensors; (ii) the first electronic device comprises a controller that interprets the input signal to provide the first synchronization signal, and (iii) the second electronic device comprises an actuator and wherein the second synchronization signal corresponds to a command for actuation in the secon

Abstract: A method for synchronizing content between a first electronic device and a second electronic device in response to an input signal, includes: (a) receiving a first synchronization signal from the first computing device that is based on the input signal being received in the first electronic device; (b) mapping the first synchronization signal to a second synchronization signal based on mapping information accessible to the second electronic device, wherein the second synchronization signal includes information not represented by the first synchronization signal; and (c) transmitting the second synchronization signal to the second electronic device for processing, wherein (i) the input signal comprises one or more sensors; (ii) the first electronic device comprises a controller that interprets the input signal to provide the first synchronization signal, and (iii) the second electronic device comprises an actuator and wherein the second synchronization signal corresponds to a command for actuation in the secon

Abstract: A method for synchronizing content between a first electronic device and a second electronic device in response to an input signal, includes: (a) receiving a first synchronization signal from the first computing device that is based on the input signal being received in the first electronic device; (b) mapping the first synchronization signal to a second synchronization signal based on mapping information accessible to the second electronic device, wherein the second synchronization signal includes information not represented by the first synchronization signal; and (c) transmitting the second synchronization signal to the second electronic device for processing, wherein (i) the input signal comprises one or more sensors; (ii) the first electronic device comprises a controller that interprets the input signal to provide the first synchronization signal, and (iii) the second electronic device comprises an actuator and wherein the second synchronization signal corresponds to a command for actuation in the secon

Abstract: Information can be synchronized between multiple computing devices by transmitting synchronization signals from a first computing device to a synchronization server and/or secondary computing device(s). The secondary device(s) can transmit mapped signals back to the synchronization server and/or other device(s) to provide feedback for this real-time or asynchronous peer-to-peer system. The system can also be used to virtualize and share sensors and output information between multiple devices.