Abstract: Systems and methods for intelligent computation acceleration transform to allow applications to be executed by accelerated processing units such as graphic processing units (GPUs) or field programmable gate arrays (FPGAs) are disclosed. In an embodiment, a computational profile is generated for an application based on execution metrics of the application for the CPU and the accelerated processing unit, and a genetic algorithm (GA) prediction model is applied to predict execution speedup on an accelerated processing unit for the application. In an embodiment, upon identification of speedup, computational steps are arbitrated among various processing units according to compute availability to achieve optimal completion time for the compute job.

Abstract: An efficient reusable, extensible light weight framework statelessly orchestrates system activities in any application which involves a series of sequential or parallel set of activities involving computational logic, data retrieval and persistence services. Actual orchestration steps and activities and computational logic are specified into configuration files, separate from the orchestration engine itself, thereby eliminating the need to code for such logic and activities. The framework can eliminate the need to code business logic and orchestration of data retrieval services by externalizing them into configuration files, resulting in lower costs to implement, test and maintain such system during its lifespan.

Abstract: An order management system comprises a middle tier and a computer-based automatic rule code generation system. The middle tier comprises a state transition engine that manages rule-based state transitions of trade orders for financial products from one state to a next state in progressions of the trade orders. The computer-based automatic rule code generation system: (i) receives a human-readable state transition file that specifies one or more state transition rules and a corresponding condition for each of the one or more state transition rules; and (ii) generates, at compile time, a configuration file that comprises rule code for the one or more state transition rules from the state transition file. The state transition engine runs the rule code in the configuration file at runtime to manage the state transitions for the trade orders.

Abstract: A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.

Abstract: Systems and methods determine whether domain names are potentially maliciously registered variants of a set of monitored domain names. A computer system can receive domain names from a feed of newly registered domain names. For each received domain name, the computer system can generate a series of images of the domain name in different fonts and/or with various distortions applied thereto. The computer system can then transform the domain name images back to text via optical character recognition. Due to the differences in fonts and/or distortions applied to the generated images of the received domain name, the optical character recognition process can produce different text strings than the originally received domain name. The converted textual domain names are then analyzed to determine whether any one is sufficiently similar to a monitored domain name, indicating that the received domain name could be a malicious variant thereof.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time. Such measures may be altered or projected using scenarios describing future emissions data.

Abstract: A system and method for obtaining user approval for transactions. The system includes an authorization system that is communicably coupled to one or more transaction computer systems that execute at least some transactions that require user approval. When a transaction system is seeking to execute a transaction that requires user approval, the transaction system sends a user approval request to the authorization system. The authorization system then retrieves the user's communication preference from a database and transmits an affirmatively actionable message to the user according to the retrieved communication preference. The messages can include an email with an approval link to click or a text message that the can be replied to. When the authorization system receives confirmation from the user that the user approves the request, the authorization system then transmits approval for the transaction to the appropriate transaction system, which then proceeds to execute the transaction.

Abstract: A system for low latency caching of time-sensitive data is disclosed. The system comprises a database, one or more processors, and non-transitory memory. The non-transitory memory comprises instructions that cause the one or more processors to divide a table of the database into a plurality of logical partitions; during a first interval of time, insert new records exclusively into a first partition of the plurality of logical partitions; during a second interval of time, insert new records exclusively into a second partition of the plurality of logical partitions; during a subsequent interval of time, determine that a predetermined period of time has passed since conclusion of the first interval of time; and responsive to the determination that the predetermined period of time has passed, delete records from the first partition without changing contents of the second partition or any other partition of the plurality of logical partitions.

Abstract: A system for executing software, wherein a computing device stores first software instructions for a code execution module such that, when the first software instructions are executed, the computing device will: receive, for execution by the code execution module, second software instructions; create one or more immutable software nodes described in the second software instructions; determine that the second software instructions comprise an instruction to begin a simulated change at runtime of the one or more immutable software nodes; store the simulated change in a simulated change apparatus; using the simulated change apparatus, perform one or more operations of the second software instructions as if the one or more immutable software nodes had been changed in memory, during a period of time where each of the one or more immutable software nodes is guaranteed to retain logical immutability; and output results of the one or more operations.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time. Such measures may be altered or projected using scenarios describing future emissions data.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time.

Abstract: Systems and methods for prefetching instructions and data run a program in a test environment, execute a tracing application on the program to collect processor trace data, use the processor trace data to extract a plurality of instruction addresses and a single continuous stack range to be prefetched during a run-time of the program, at initialization of the program, load the extracted plurality of instruction addresses and the extracted stack range, relocate the plurality of extracted instruction addresses and the extracted stack range into the program, and at run-time, prefetch one or more of the plurality of extracted instruction addresses and the extracted stack range during idle time of the program.

Abstract: Domain specific knowledge base (KB) contains all concepts from domain and the semantic relations between concepts. The concepts and the semantic relations are extracted from an existing corpus of content for the domain. The World Wide Web Consortium (W3C) standard SKOS (Simple Knowledge Organization System) can be used and two types of semantic relations can be captured: hierarchal and associative. A Natural Language Processing (NLP) software engine can parse the input text to create a semantic knowledge graph, which is then mapped to a SKOS knowledge model. During the linguistic understanding of the text, relevant domain concepts are identified and connected by semantic links. Concepts automatically identified as most important in this domain can be promoted to another layer, referred to as “Topics.

Abstract: A system for triage and response to a second system's malfunction is disclosed. The system determines a possible present or future disruption to a service provided by the second system; automatically searches historical records regarding similar disruptions; and provides an interactive, aggregated user interface comprising many tools to display results of the search, log actions already taken, and receive commands from human operators for seamless intervention in cloud-based or on-premises systems. The determination may be based on a statistical anomaly in the performance of the second system, or alternatively may be based on input from a human user, whose communication undergoes text analysis to determine possible matches.

Abstract: A computer-implemented system and method to track a transaction that is executed by a series of applications in a workflow. Each application in the workflow generates an application log file that includes a standard header, which in turn includes a transaction ID associated with the transaction, an outcome associated with a step of the transaction executed by each of the applications, and a timestamp associated with the step of the transaction. The application log file with the header is received and stored by the computer system. The computer system can thereafter retrieve and display the entire transaction history for the transaction across all of the applications in response to a user query. The standard header is appended to the application log file and agnostic to the underlying technology used to implement the application system so that any transaction can be reconstructed end-to-end regardless of the form of the application system.

Abstract: Computer-based systems and methods produce output graphics and displays for financial advisors following computational discovery, assessment and alignment of a client's (e.g., an investor's) holdings and accounts to the client's unique social and environmental impact preferences. The systems and methods of the present invention can (1) track a client's unique set of social and environmental impact preferences using a detailed taxonomy; (2) quantitatively assess the client's portfolio of investment holdings on the selected social and environmental impact preferences; (3) search for new investment opportunities that would better align with the client's preferences; and (4) benchmark the client's portfolio and new investment opportunities against comparable market indices and custom portfolio blends.

Abstract: Systems and methods for prefetching instructions and data run a program in a test environment, execute a tracing application on the program to collect processor trace data, use the processor trace data to extract a plurality of instruction addresses and a single continuous stack range to be prefetched during a run-time of the program, at initialization of the program, load the extracted plurality of instruction addresses and the extracted stack range, relocate the plurality of extracted instruction addresses and the extracted stack range into the program, and at run-time, prefetch one or more of the plurality of extracted instruction addresses and the extracted stack range during idle time of the program.

Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; perform a dilating transformation via convolution matrix on the digital image to obtain a modified image; determine a plurality of regions of connected markings in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine whether any region contains any handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.

Abstract: A system for forwarding packets between a first endpoint and a second endpoint, comprising one or more processors; a first network interface for communication with the first endpoint and a second network interface for communication with the second endpoint; and non-transitory memory comprising instructions. The instructions cause the one or more processors to receive a first packet from the first endpoint comprising a first data payload; generate a second packet, comprising the first data payload and an indicator of remaining buffer capacity different from an actual buffer capacity of the system; transmit the second packet to the second endpoint; receive a third packet from the second endpoint comprising a second data payload; generate a fourth packet, comprising the second data payload and an indicator of remaining buffer capacity different from an actual buffer capacity of the system; and transmit the fourth packet to the first endpoint.