Abstract: An online system receives time series data and analyzes the data for identifying trend changes or level shifts in the time series. The time series data may describe resource utilization of systems, for example, bandwidth of computer networks. The online system uses prediction models, for example, machine learning based prediction models using regression to predict data values for the time series. The online system determines error residue values based on difference between predicted data values and actual data values of the time series. The online system determines level change in the error residue to identify change-points representing trend changes or level-shifts in the original time-series. The online system takes corrective action based on the change-point information and the trend following the occurrence of the change-point, for example, sending alerts or instructions for causing reconfiguration of the systems such as the computer network.

Abstract: The present disclosure is directed to security settlement in financial markets and cryptographic currencies. Particular portions of the present disclosure are directed to a cryptographic currency protocol and to a cryptographic currency that includes a positional item. The cryptographic currency protocol supports a virtual wallet that, in various embodiments, is a security and cash account for storing and managing the cryptographic currency. Opening a transaction via the virtual wallet to transfer the cryptographic currency is a strong guarantee of the availability of funds in the virtual wallet because, e.g., funds are not transacted unless the commit phase is successful.

Abstract: A mechanism for wirelessly updating an FPGA that is built into a wireless mobile or another wireless electronic device is described herein. The wireless update may be performed responsive to detecting a hardware vulnerability or another hardware issue in the mobile device. When the hardware vulnerability or another hardware issue is detected, the mechanism may identify a fix for the hardware vulnerability. A fix may be a particular FPGA configuration update known to fix the issue. The configuration update to the FPGA is received and the current FPGA configuration is overwritten with data from the configuration update. A determination is made that the hardware vulnerability no longer exists.

Abstract: An apparatus includes multiple computing cores, where each computing core is configured to perform one or more processing operations and generate input data. The apparatus also includes multiple coprocessors associated with each computing core, where each coprocessor is configured to receive the input data from at least one of the computing cores, process the input data, and generate output data. The apparatus further includes multiple reducer circuits, where each reducer circuit is configured to receive the output data from each of the coprocessors of an associated computing core, apply one or more functions to the output data, and provide one or more results to the associated computing core. In addition, the apparatus includes multiple communication links communicatively coupling the computing cores and the coprocessors associated with the computing cores.

Abstract: A system and a method are disclosed for simulating asset transfers (e.g., sweeps) using a user interface generated by various collections of display routines. A sweep management system may generate a graphical user interface (GUI) on a webpage to simulate sweeps. The GUI may include a list of entities rendered using a first collection of display routines and a graphical representation of some of the entities rendered using a second collection of display routines. The graphical representation may be rendered using a shared webpage object. Furthermore, callback functions are executed to perform operations based on user interactions. For example, callback functions are used to update the graphical representation after a user has dragged and dropped an entry from the list into the graphical representation.

Abstract: A system receives a request to process data. The system uses an expression engine to apply one or more expressions to the data to perform one or more application programming interface (API) interactions, which may include one or more of: dynamic resolution of API endpoints, API payload construction, and validation of API payload data fields. The Expressions are predefined entities configured to perform actions involving the system. The system initiates the expression engine. The system executes an initial expression upon initial data to produce an expression result. Executing the initial expression can involve iteratively resolving an ordered set of related expressions.

Abstract: A method includes using a computational network to learn and predict time-series data. The computational network includes one or more layers, each having an encoder and a decoder. The encoder of each layer multiplicatively combines (i) current feed-forward information from a lower layer or a computational network input and (ii) past feedback information from a higher layer or that layer. The encoder of each layer generates current feed-forward information for the higher layer or that layer. The decoder of each layer multiplicatively combines (i) current feedback information from the higher layer or that layer and (ii) at least one of the current feed-forward information from the lower layer or the computational network input or past feed-forward information from the lower layer or the computational network input. The decoder of each layer generates current feedback information for the lower layer or a computational network output.

Abstract: A system and a method are disclosed for placing hardware components on a printed circuit board (“PCB”) in a way that enables all hardware components on the PCB to be passively cooled without using active cooling systems. Components are selected to be placed onto the PCB and heat metrics for each component is obtained (e.g., from a server). The components are ranked based on the amount of heat that each component generates. A corresponding position for each of the hardware components is determined based on the ranking of the components and the orientation of the PCB. The placement is based on the concept that air having higher temperature rises while air having cooler temperature falls. A representation of the PCB according to corresponding positions of the hardware components may be generated for display.

Abstract: This disclosure provides systems and methods for prevention of manipulation and gaming in electronic intraday auctions. The system includes using at least one processing device for obtaining orders related to an asset from an electronic trading system. The system includes using at least one processing device for identifying a value for the asset to be used during an intraday auction involving the asset. The identified value is based on a detected order cross within the orders. The value is identified and set prior to the intraday auction. The value is located within a best bid and best offer spread (BBO) band. The system includes using at least one processing device for initiating the intraday auction involving the asset based on the identified and set value and the detected order cross. Changes to the BBO band during the intraday auction do not affect the identified and set value.

Abstract: An orchestration platform processes transaction requests. The processing includes a series of processing steps. Advices are applied to extract status information before and after execution of at least some of the processing steps. The extracted status information is provided to a transaction monitoring system that provides a user interface for monitoring transaction status. When exceptions occur in transaction processing, the user interface may enable additional information to be provided that addresses the transaction to enable transaction processing to resume.

Abstract: An apparatus includes at least one processor configured to obtain a graph having vertices that represent items and edges that represent relationships between the items. The at least one processor is also configured to identify pairwise relatedness values associated with pairs of vertices. Each pairwise relatedness value is determined as a measure of diffusion on a space in the graph with a first vertex acting as a diffusion source and a boundary acting as a diffusion sink such that a diffusion density at a second vertex defines the pairwise relatedness value associated with the first and second vertices. The at least one processor is further configured to use the pairwise relatedness values as a measure of how the items associated with the pairs of vertices in the graph are related to one another. A boundary condition defines the boundary on the space in the graph around the diffusion source.

Abstract: A method is provided for solving a computational problem that is reducible to a problem of counting solutions to an associated decision problem. The method includes, using a quantum computer, estimating a number of the solutions to the decision problem by determining if there is at least one solution to the decision problem that lies in a pseudo-random set. The method also includes outputting or using the estimated number of the solutions to the decision problem as a solution to the computational problem. Determining if there is at least one solution to the decision problem that lies in the pseudo-random set could include determining if there is a sequence of solutions to the decision problem that, taken together, lies in the pseudo-random set.

Abstract: A broker system dynamically adjusts data processing techniques used by a network gateway for forwarding data over a network from a client system to an exchange system based on a switch mode parameter. The broker system dynamically adjusts the network gateway from using an error-propagating data processing technique (e.g. cut-through switching) to a non-error-propagating data processing technique (e.g. store and forward switching) based on the switch mode parameter. In particular, the broker system may adjust the network gateway when a count of unsuccessfully validated protocol data units meets a threshold specified by the switch mode parameter. While using the error-propagating technique, the broker system may modify a portion of the data protocol unit corresponding to a transport layer of a network protocol used by the network when a protocol data unit is unsuccessfully validated.

Abstract: A method includes performing, with at least one processing device, natural language understanding by iteratively (i) generating a semantic word and clause representation and (ii) generating a syntax. The generation of the semantic word and clause representation and the generation of the syntax occur iteratively such that (i) semantics are calculated from syntax by aggregating weights of syntactically-labeled context in which words or clauses appear and (ii) syntax is calculated from semantics by grouping common pairs of words or clauses with similar semantic relations, thereby producing a self-consistent coupled notion of syntax and semantics.

Abstract: An electronic trading method, system, apparatus and platform that facilitate dealer to client trading of financial instruments in a session-based format. In one embodiment, the electronic trading system establishes a trading session for a given financial instrument at a predetermined date and time. The electronic trading system presents a two-sided market and provides a guarantee of a minimum liquidity for the trading session. The electronic trading system then executes client orders based on time of order entry and allocation of available liquidity.

Abstract: A method includes obtaining first and second data sets to be reconciled and, using matching rules, identifying discrepancies between the data sets. The matching rules include at least one permutation key, where each permutation key identifies a subset of data to be grouped together in one of the data sets. Identifying the discrepancies includes attempting to match one or more first characteristics associated with the grouped subset of data in one of the data sets to one or more second characteristics associated with another of the data sets. The matching rules could involve multiple matching characteristics, and the matching rules could be generated using a metric to select the matching characteristics of the matching rules. The metric could be based on a combination of a number of matched data items and a number of matched groups of data items.

Abstract: A method includes receiving, from one or more first applications, multiple indications that multiple first data items are available for processing. For each of the first data items, the method also includes (a) determining, using one or more of multiple data dependency rules, that a second data item is dependent for processing by a second application upon an availability of the first data item; (b) in response to the determination, changing a status of the first data item from unavailable to available for processing and/or changing a status of the second data item from unavailable to ready for processing; and (c) providing the status of the first data and/or the status of the second data item to the second application to enable the second application to process the second data item. Different data dependency rules are associated with different first data items and different second items.

Abstract: An online system receives time series data and analyzes the data for identifying trend changes or level shifts in the time series. The time series data may describe resource utilization of systems, for example, bandwidth of computer networks. The online system uses prediction models, for example, machine learning based prediction models using regression to predict data values for the time series. The online system determines error residue values based on difference between predicted data values and actual data values of the time series. The online system determines level change in the error residue to identify change-points representing trend changes or level-shifts in the original time-series. The online system takes corrective action based on the change-point information and the trend following the occurrence of the change-point, for example, sending alerts or instructions for causing reconfiguration of the systems such as the computer network.

Abstract: Disclosed subject matter includes systems and methods for providing a witnessed an electronically executed legal instrument, such as a limited power of attorney. The technology disclosed herein allows for the immediate transfer of a witnessed electronic document meeting today's current standards for witnessing of a document, including proximity of parties, and multiple forms of party identity authentication.

Abstract: A method is provided for solving a computational problem that is reducible to a problem of counting solutions to an associated decision problem. The method includes estimating a number of the solutions to the decision problem using a quantum computer by determining if there is at least one simultaneous solution to both (i) the decision problem and (ii) an associated hashing problem. The method also includes increasing a precision of the estimated number of the solutions to the decision problem using the quantum computer by determining if there are multiple solutions to the decision problem that are simultaneously solutions to the associated hashing problem. The method further includes outputting or using the estimated number of the solutions to the decision problem as a solution to the computational problem.