Abstract: A claim adjudication system including an automatic adjudication pipeline that uses pipeline rules to automatically adjudicate a claim associated with a benefit plan at one or more stages. The automatic adjudication pipeline can redirect the claim to a user interface for manual review when a pipeline rule associated with a manual review condition is triggered. The user interface can present information about the claim relevant to the manual review condition in an integrated format, including highlighting the reasons for the manual review. A user can evaluate the claim in the user interface and provide user input that addresses the manual review condition, and the claim can be routed back to the automatic adjudication pipeline. The user input can also be used as training data for machine learning to adjust pipeline rules that are used to automatically process claims and to redirect future claims for manual review.

Abstract: A system and method for managing memory resources. In some embodiments the system includes a first server, a second server, and a server-linking switch connected to the first server and to the second server. The first server may include a stored-program processing circuit, a cache-coherent switch, and a first memory module. In some embodiments, the first memory module is connected to the cache-coherent switch, the cache-coherent switch is connected to the server-linking switch, and the stored-program processing circuit is connected to the cache-coherent switch.

Abstract: A claim adjudication system including an automatic adjudication pipeline that uses pipeline rules to automatically adjudicate a claim associated with a benefit plan at one or more stages. The automatic adjudication pipeline can redirect the claim to a user interface for manual review when a pipeline rule associated with a manual review condition is triggered. The user interface can present information about the claim relevant to the manual review condition in an integrated format, including highlighting the reasons for the manual review. A user can evaluate the claim in the user interface and provide user input that addresses the manual review condition, and the claim can be routed back to the automatic adjudication pipeline. The user input can also be used as training data for machine learning to adjust pipeline rules that are used to automatically process claims and to redirect future claims for manual review.

Abstract: A system for computing. In some embodiments, the system includes: a memory, the memory including one or more function-in-memory circuits; and a cache coherent protocol interface circuit having a first interface and a second interface. A function-in-memory circuit of the one or more function-in-memory circuits may be configured to perform an operation on operands including a first operand retrieved from the memory, to form a result. The first interface of the cache coherent protocol interface circuit may be connected to the memory, and the second interface of the cache coherent protocol interface circuit may be configured as a cache coherent protocol interface on a bus interface.

Abstract: A system and method for managing memory resources. In some embodiments, the system includes a first memory server, a second memory server, and a server-linking switch connected to the first memory server and to the second memory server. The first server may include a cache-coherent switch and a first memory module. In some embodiments, the first memory module is connected to the cache-coherent switch, and the cache-coherent switch is connected to the server-linking switch.

Abstract: A system and method for managing memory resources. In some embodiments the system includes a first server, a second server, and a server-linking switch connected to the first server and to the second server. The first server may include a stored-program processing circuit, a cache-coherent switch, and a first memory module. In some embodiments, the first memory module is connected to the cache-coherent switch, the cache-coherent switch is connected to the server-linking switch, and the stored-program processing circuit is connected to the cache-coherent switch.

Abstract: A method of processing data may include receiving a stream of first keys associated with first data, receiving a stream of second keys associated with second data, comparing, in parallel, a batch of the first keys and a batch of the second keys, collecting one or more results from the comparing, and gathering one or more results from the collecting. The collecting may include reducing an index matrix and a mask matrix. Gathering one or more results may include storing, in a leftover vector, at least a portion of the one or more results from the collecting. Gathering one or more results further may include combining at least a portion of the leftover vector from a first cycle with at least a portion of the one or more results from the collecting from a second cycle.

Abstract: A method of processing data in a system having a host and a storage node may include performing a shuffle operation on data stored at the storage node, wherein the shuffle operation may include performing a shuffle write operation, and performing a shuffle read operation, wherein at least a portion of the shuffle operation is performed by an accelerator at the storage node. A method for partitioning data may include sampling, at a device, data from one or more partitions based on a number of samples, transferring the sampled data from the device to a host, determining, at the host, one or more splitters based on the sampled data, communicating the one or more splitters from the host to the device, and partitioning, at the device, data for the one or more partitions based on the one or more splitters.

Abstract: Systems and methods for medical intervention using machine learning techniques are provided. One or more embodiments include receiving data associated with a medical condition from a user. Based on the user, a patient profile is retrieved from a database. An intervention is determined for the medical condition based on a patient history provided as an input to a machine learning model that recommends interventions. The intervention is sent to a user device associated with the user. Changes are monitored in one or more health metrics associated with the user. The machine learning models are re-trained based on the monitored changes and the intervention.

Abstract: Provided are systems, methods, and apparatuses for resource allocation. The method can include: determining a first value of a parameter associated with at least one first device in a first cluster; determining a threshold based on the first value of the parameter; receiving a request for processing a workload at the first device; determining that a second value of the parameter associated with at least one second device in a second cluster meets the threshold; and responsive to meeting the threshold, routing at least a portion of the workload to the second device.

Abstract: Provided are systems, methods, and apparatuses for providing a storage resource. The method can include: operating a first controller coupled to a network interface in accordance with a cache coherent protocol; performing at least one operation on data associated with a cache using a second controller coupled to the first controller and coupled to a first memory; and storing the data on a second memory coupled to one of the first controller or the second controller.

Abstract: A system and method for managing memory resources. In some embodiments the system includes a first server, including a stored-program processing circuit, a first network interface circuit, and a first memory module. The first memory module may include a first memory die, and a controller. The controller may be connected to the first memory die through a memory interface, to the stored-program processing circuit through a cache-coherent interface, and to the first network interface circuit.

Abstract: A system for computing. In some embodiments, the system includes: a memory, the memory including one or more function-in-memory circuits; and a cache coherent protocol interface circuit having a first interface and a second interface. A function-in-memory circuit of the one or more function-in-memory circuits may be configured to perform an operation on operands including a first operand retrieved from the memory, to form a result. The first interface of the cache coherent protocol interface circuit may be connected to the memory, and the second interface of the cache coherent protocol interface circuit may be configured as a cache coherent protocol interface on a bus interface.

Abstract: A system and method for managing memory resources. In some embodiments, the system includes a first memory server, a second memory server, and a server-linking switch connected to the first memory server and to the second memory server. The first server may include a cache-coherent switch and a first memory module. In some embodiments, the first memory module is connected to the cache-coherent switch, and the cache-coherent switch is connected to the server-linking switch.

Abstract: A system and method for managing memory resources. In some embodiments, the system includes a stored-program processing circuit, a network interface circuit, a cache-coherent switch, and a first memory module. In some embodiments, the first memory module is connected to the cache-coherent switch, the cache-coherent switch is connected to the network interface circuit, and the stored-program processing circuit is connected to the cache-coherent switch.

Abstract: A system and method for managing memory resources. In some embodiments the system includes a first server, a second server, and a server-linking switch connected to the first server and to the second server. The first server may include a stored-program processing circuit, a cache-coherent switch, and a first memory module. In some embodiments, the first memory module is connected to the cache-coherent switch, the cache-coherent switch is connected to the server-linking switch, and the stored-program processing circuit is connected to the cache-coherent switch.

Abstract: A system for electrically stimulating and/or detecting bioelectrical signals of a user comprising: an array of permeable bodies configured to absorb a solution that facilitates electrical coupling with a body region of the user; a housing defining an array of protrusions conforming to the body region and comprising: an array of channels distributed across the array of protrusions, each channel at least partially surrounding a permeable body, configured to deliver the solution to the permeable body, and comprising a barrier that prevents passage of the permeable body past the barrier, and a manifold configured to distribute the solution to the array of channels; and a coupling subsystem comprising a first electrical coupling region in electrical communication with an interior of the manifold, wherein the first electrical coupling region is configured to couple to a second electrical coupling region that couples the first electrical coupling region to the electronics subsystem.

Abstract: Systems and methods for medical intervention using machine learning techniques are provided. One or more embodiments include receiving data associated with a medical condition from a user. Based on the user, a patient profile is retrieved from a database. An intervention is determined for the medical condition based on a patient history provided as an input to a machine learning model that recommends interventions. The intervention is sent to a user device associated with the user. Changes are monitored in one or more health metrics associated with the user. The machine learning models are re-trained based on the monitored changes and the intervention.

Abstract: A deduplication memory system includes a virtual memory space, a physical memory space and a memory manager. The memory manager generates a user data entry that is stored in the physical memory space. The user data entry represents a unique user data of a predetermined granularity appearing in the virtual memory space, and includes first and second portions. The first portion includes information relating to a number of duplication times the unique user data corresponding to the user data entry is duplicated in the virtual memory space, and the second portion includes a selected part of the unique user data from which the unique user data may be reconstructed. The first portion may include an index to an extended reference counter table or a special data pattern table if the number of duplication times of the unique user data is greater than or equal to a predetermined number.

Abstract: A claim adjudication system including an automatic adjudication pipeline that uses pipeline rules to automatically adjudicate a claim associated with a benefit plan at one or more stages. The automatic adjudication pipeline can redirect the claim to a user interface for manual review when a pipeline rule associated with a manual review condition is triggered. The user interface can present information about the claim relevant to the manual review condition in an integrated format, including highlighting the reasons for the manual review. A user can evaluate the claim in the user interface and provide user input that addresses the manual review condition, and the claim can be routed back to the automatic adjudication pipeline. The user input can also be used as training data for machine learning to adjust pipeline rules that are used to automatically process claims and to redirect future claims for manual review.