Abstract: An apparatus and method are described for distributed and cooperative computation in artificial neural networks. For example, one embodiment of an apparatus comprises: an input/output (I/O) interface; a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each of the plurality of processing units to process at least a portion of the data for the input neurons and synaptic weights to generate partial results; and an interconnect communicatively coupling the plurality of processing units, each of the processing units to share the partial results with one or more other processing units over the interconnect, the other processing units using the partial results to generate additional partial results or final results. The processing units may share data including input neurons and weights over the shared input bus.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: An apparatus and method are described for distributed and cooperative computation in artificial neural networks. For example, one embodiment of an apparatus comprises: an input/output (I/O) interface; a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each of the plurality of processing units to process at least a portion of the data for the input neurons and synaptic weights to generate partial results; and an interconnect communicatively coupling the plurality of processing units, each of the processing units to share the partial results with one or more other processing units over the interconnect, the other processing units using the partial results to generate additional partial results or final results. The processing units may share data including input neurons and weights over the shared input bus.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: A Li-ion battery cell includes cathode and anode materials, a separator, and an electrolyte including a mixture of a polyethylene oxide and an oxide of formula LivLasZnOn. A method of forming the cell includes the following successive cycling steps: (a) at least two successive charge and discharge cycles of the cell at a first cycling rate C/x, the charge/discharge steps being limited in time to x/2; (b) at least two successive charge and discharge cycles of the cell at a second charging rate C/y, different from the first cycling rate, where y is lower than x, the charge/discharge steps being limited in time to y/2; and (c) at least two successive charge and discharge cycles of the cell at a third cycling rate C/z different from the first and second charging rates, where z is lower than x and y, the charge/discharge steps being limited in time to z/2.

Abstract: A drag-inducing mat includes a main body configured to accommodate a rider. The main body includes a rider surface configured to face the rider and an opposing surface configured to face a slide surface. The drag-inducing mat also includes a sipe array defined within the opposing surface. The sipe array includes a plurality of sipes that extends from a first lateral edge of the main body to a second lateral edge of the main body to selectively induce friction between the main body and the slide surface based on force applied to the sipe array by the rider.

Abstract: An apparatus and method are described for distributed and cooperative computation in artificial neural networks. For example, one embodiment of an apparatus comprises: an input/output (I/O) interface; a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each of the plurality of processing units to process at least a portion of the data for the input neurons and synaptic weights to generate partial results; and an interconnect communicatively coupling the plurality of processing units, each of the processing units to share the partial results with one or more other processing units over the interconnect, the other processing units using the partial results to generate additional partial results or final results. The processing units may share data including input neurons and weights over the shared input bus.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: An apparatus and method are described for distributed and cooperative computation in artificial neural networks. For example, one embodiment of an apparatus comprises: an input/output (I/O) interface; a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each of the plurality of processing units to process at least a portion of the data for the input neurons and synaptic weights to generate partial results; and an interconnect communicatively coupling the plurality of processing units, each of the processing units to share the partial results with one or more other processing units over the interconnect, the other processing units using the partial results to generate additional partial results or final results. The processing units may share data including input neurons and weights over the shared input bus.

Abstract: A drag-inducing mat includes a main body configured to accommodate a rider. The main body includes a rider surface configured to face the rider and an opposing surface configured to face a slide surface. The drag-inducing mat also includes a sipe array defined within the opposing surface. The sipe array includes a plurality of sipes that extends from a first lateral edge of the main body to a second lateral edge of the main body to selectively induce friction between the main body and the slide surface based on force applied to the sipe array by the rider.

Abstract: A Li-ion battery cell includes cathode and anode materials, a separator, and an electrolyte including a mixture of a polyethylene oxide and an oxide of formula LivLasZnOn. A method of forming the cell includes the following successive cycling steps: (a) at least two successive charge and discharge cycles of the cell at a first cycling rate C/x, the charge/discharge steps being limited in time to x/2; (b) at least two successive charge and discharge cycles of the cell at a second charging rate C/y, different from the first cycling rate, where y is lower than x, the charge/discharge steps being limited in time to y/2; and (c) at least two successive charge and discharge cycles of the cell at a third cycling rate C/z different from the first and second charging rates, where z is lower than x and y, the charge/discharge steps being limited in time to z/2.

Abstract: A drag-inducing mat includes a main body configured to accommodate a rider. The main body includes a rider surface configured to face the rider and an opposing surface configured to face a slide surface. The drag-inducing mat also includes a sipe array defined within the opposing surface. The sipe array includes a plurality of sipes that extends from a first lateral edge of the main body to a second lateral edge of the main body to selectively induce friction between the main body and the slide surface based on force applied to the sipe array by the rider.

Abstract: A processing device includes a processor core and a number of calculation modules that each is configurable to perform any one of operations for a convolutional neuron network system. A first set of the calculation modules are configured to perform convolution operations, a second set of the calculation modules are reconfigured to perform averaging operations, and a third set of the calculation modules are reconfigured to perform dot product operations.

Abstract: An apparatus and method are described for distributed and cooperative computation in artificial neural networks. For example, one embodiment of an apparatus comprises: an input/output (I/O) interface; a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each of the plurality of processing units to process at least a portion of the data for the input neurons and synaptic weights to generate partial results; and an interconnect communicatively coupling the plurality of processing units, each of the processing units to share the partial results with one or more other processing units over the interconnect, the other processing units using the partial results to generate additional partial results or final results. The processing units may share data including input neurons and weights over the shared input bus.

Abstract: Systems and methods for protecting a turbomachine may include a trip throttle valve having a throttle valve assembly and a trip valve assembly. The trip valve assembly may include a plurality of trip valves fluidly coupled to a hydraulic cylinder of the throttle valve assembly via a first flow path and a second flow path in parallel with one another. The trip valve assembly may also include a plurality of isolation valves fluidly coupled to the hydraulic cylinder via the first flow path and the second flow path. The plurality of isolation valves may be configured to selectively prevent fluid communication between the plurality of trip valves and the hydraulic cylinder to allow testing of one or more of the plurality of trip valves during operation of the turbomachine.

Abstract: An apparatus and method are described for distributed and cooperative computation in artificial neural networks. For example, one embodiment of an apparatus comprises: an input/output (I/O) interface; a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each of the plurality of processing units to process at least a portion of the data for the input neurons and synaptic weights to generate partial results; and an interconnect communicatively coupling the plurality of processing units, each of the processing units to share the partial results with one or more other processing units over the interconnect, the other processing units using the partial results to generate additional partial results or final results. The processing units may share data including input neurons and weights over the shared input bus.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.