Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: The embodiments herein provide a secure computing resource set identification, evaluation, and management arrangement, employing in various embodiments some or all of the following highly reliable identity related means to establish, register, publish and securely employ user computing arrangement resources in satisfaction of user set target contextual purposes.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: Systems, methods, and computer-readable storage media for aggregating media (and commentary on that media) into a topology. To do so, the system receives first content (and associated metadata) as well as second content (and associated metadata). The system then generates a topology based on a relationship between the first content and the second content, where the topology has a number of dimensions based on the metadata of the different pieces of content. The system then compares the topology and the metadata to previously stored topologies and/or metadata and, based on that comparison, executes a machine learning algorithm. The output of that machine learning algorithm includes predicted future changes to the topology, which the system uses to reduce the number of dimensions within the topology.

Abstract: Systems and methods for purposeful computing are disclosed that, among other things, include a user purpose class resource information computing environment. Such environment supports resource purpose classes, and further supports resource identification information sets that characterize their respective subject matter resources. The computing environment can be used to identify and evaluate one or more purpose class subject matter resource members.

Abstract: Systems and methods for purposeful computing are disclosed that, among other things, include enabling an operating system for connected computing configured for identification, evaluation, selection, and/or use of suitable to user purposes' resources to produce outcomes optimized to such purposes' fulfillment. Such resources populate a distributed resource ecosphere and have associated attributes that inform regarding resource suitability.

Abstract: Systems, methods, and computer-readable storage media for aggregating media (and commentary on that media) into a topology. To do so, the system receives first content (and associated metadata) as well as second content (and associated metadata). The system then generates a topology based on a relationship between the first content and the second content, where the topology has a number of dimensions based on the metadata of the different pieces of content. The system then compares the topology and the metadata to previously stored topologies and/or metadata and, based on that comparison, executes a machine learning algorithm. The output of that machine learning algorithm includes predicted future changes to the topology, which the system uses to reduce the number of dimensions within the topology.

Abstract: The embodiments herein provide a secure computing resource set identification, evaluation, and management arrangement, employing in various embodiments some or all of the following highly reliable identity related means to establish, register, publish and securely employ user computing arrangement resources in satisfaction of user set target contextual purposes.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: Systems, methods, and computer-readable storage media for aggregating media (and commentary on that media) into a topology. To do so, the system receives first content (and associated metadata) as well as second content (and associated metadata). The system then generates a topology based on a relationship between the first content and the second content, where the topology has a number of dimensions based on the metadata of the different pieces of content. The system then compares the topology and the metadata to previously stored topologies and/or metadata and, based on that comparison, executes a machine learning algorithm. The output of that machine learning algorithm includes predicted future changes to the topology, which the system uses to reduce the number of dimensions within the topology.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A system, method, and computer-readable storage medium configured to facilitate user purpose in a computing architecture.

Abstract: The embodiments herein provide a secure computing resource set identification, evaluation, and management arrangement, employing in various embodiments some or all of the following highly reliable identity related means to establish, register, publish and securely employ user computing arrangement resources in satisfaction of user set target contextual purposes.

Abstract: The embodiments herein provide a secure computing resource set identification, evaluation, and management arrangement, employing in various embodiments some or all of the following highly reliable identity related means to establish, register, publish and securely employ user computing arrangement resources in satisfaction of user set target contextual purposes.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: Systems and methods for purposeful computing are disclosed that, among other things, include enabling an operating system for connected computing configured for identification, evaluation, selection, and/or use of suitable to user purposes' resources to produce outcomes optimized to such purposes' fulfillment. Such resources populate a distributed resource ecosphere and have associated attributes that inform regarding resource suitability.