Abstract: The present invention relates to a system and corresponding method for cloud-orchestrated distributed artificial intelligence-based fraud detection and prevention in multi-channel financial systems. The invention enables real-time processing of heterogeneous transaction data originating from multiple financial interaction channels through a plurality of distributed computing nodes interconnected within a cloud environment. Each computing node is configured to perform data preprocessing, feature extraction, and artificial intelligence-based inference to generate anomaly indicators and risk scores. A coordination processor aggregates outputs from the distributed computing nodes and performs cross-channel correlation to identify coordinated and multi-stage fraudulent activities. A decision processor generates a transaction risk classification and initiates preventive actions including transaction blocking, authentication requests, and alert generation.

Abstract: A system for artificial intelligence driven adaptive and secure orchestration of distributed enterprise systems is disclosed. The system comprises a telemetry acquisition unit configured to receive operational data from a plurality of distributed computing nodes, a data buffering unit configured to store the received data, and a feature extraction unit configured to generate structured feature representations from the operational data. An artificial intelligence processing unit processes the structured feature representations to generate predictive outputs including workload distribution indicators and anomaly detection signals. An adaptive orchestration control unit converts the predictive outputs into control instructions for dynamic allocation of computational resources and redistribution of workloads across the distributed computing nodes.

Abstract: As described herein, various embodiments of the present invention use an output space refinement machine learning model to filter C of the B candidate predictive associations that are referred to herein as dynamically-preselected candidate predictive associations for each prediction input data object, with every prediction input data object being associated with a different subset of the dynamically-preselected candidate predictive associations, where C is less than B and is in some embodiments typically much less than B. As described in greater detail below, this approach reduces the number of computational operations that need to be performed by a final classification machine learning model (referred to herein as a variable-output-space prediction machine learning model), and leads to substantial computational efficiency advantages relative to naïve implementations.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations configured to integrate distinct clustering schemes given temporal variations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating integrative predicted scores based at least in part on at least one of: within-cluster consistency scores determined for clusters determined using a first clustering scheme (e.g., a service clustering scheme), within-cluster consistency scores determined for clusters determined using a second clustering scheme (e.g., a recipient clustering scheme), cross-cluster consistency scores, and cross-temporal consistency scores.

Abstract: Techniques for displaying a graphical user interface of a software development system are described. An initial description of an initial structure of a software system is obtained, the initial description including an identification of interconnections amongst provider network resources that form the initial structure. A modified description of a modified structure of the software system is obtained, the modified structure based on at least a change to the initial structure of the software system described in the initial description. A difference between the initial description and the modified description is determined. An electronic device is caused to display a graphical user interface including a visual depiction of the initial structure of the software system and an indication of the difference, the visual depiction based at least in part on the initial description.

Abstract: Techniques for leveraging a large language model (LLM) in software development are described. A description of an error message associated with a software system hosted by the multi-tenant provider network is received. An LLM is prompted with an analysis prompt to generate an analysis of the error message, the analysis prompt including the description of the error message, and the analysis of the error message is received from the LLM. The LLM is prompted with a suggested resolution prompt to generate a suggested resolution to a cause of the error message, the suggested resolution prompt including the description of the error message and the analysis of the error message, and the suggested resolution is received from the LLM. A change to resolve the cause of the error message is sent to an originator of the received description, the change based at least in part on the suggested resolution.

Abstract: A method for adjusting heart rate measurement accuracy of a wearable device includes: obtaining, by a data module, a plurality of pieces of data including user activity data, user information, and environment conditions related to a user from a plurality of data sources; determining a skin attribute of the user based on the obtained plurality of pieces of data; emitting, by a transmitter module, infrared (IR) radiation and visible light at an intensity level for measuring a heart rate of the user; receiving, by a receiver module, scattered IR radiation resulting from interaction of the transmitted IR radiation and the transmitted visible light based on a skin condition of the user and the environment conditions; determining, by a correlation module, a scattered radiation vector based on the scattered IR radiation; determining, by a detection module, a wavelength of the visible light to be adjusted based on the scattered radiation vector; and adjusting, by the transmitter module, the wavelength of the visible

Abstract: The disclosure generally pertains to systems and methods for contact center channel merging. In an example method, a first inbound communication associated with a vehicle event may be received from a first vehicle component of a vehicle via a first communication medium, the first inbound communication including a first identifier. A second inbound communication associated with the vehicle event may be received from a second vehicle component of the vehicle via a second communication medium, the second inbound communication including a second identifier. It may be determined that a first time associated with the first inbound communication and a second time associated with the second inbound communication are within a predetermined threshold, and that the first identifier and the second identifier are both associated with the vehicle. At least one notification may be sent based in part on an aggregation of the first inbound communication and the second inbound communication.

Abstract: The present disclosure provides methods for generating sugars from a cellulosic biomass. The methods combine treatment of the biomass using a high-shear milling device and saccharification of the biomass to partially hydrolyze the biomass. The biomass can be saccharified either after or simultaneously with the high-shear milling treatment. The partially hydrolyzed biomass is then separated into a solids stream with saccharification enzymes, and a liquid stream with sugars. The solids stream and associated enzymes are further incubated under saccharification conditions to produce additional sugars, or are recycled and added to fresh biomass, which is saccharified under high-shear milling conditions. The methods result in improved conversion of cellulosic biomass to glucose.

Abstract: A method to retrieve transaction address resulting in PCIe completion timeout includes monitoring a Peripheral Component Interconnect Express (PCIe) controller to detect a Completion Timeout (CTO) transmitted therefrom. A Master Identification (ID) of a Master and a transaction address of a transaction are stored in a configuration space, in response to detecting the CTO, wherein the transaction originates from the Master and the CTO is signaled in response to the transaction. The CTO is responded to with the Master identified by the Master ID in the configuration space.

Abstract: A Software-as-a-Service (SaaS) system for providing a social network for business to business (B2B) electronic connectivity is disclosed and more particularly to a simplified B2B electronic connectivity interface which not only facilitates one-to-one business connections but can also be used to facilitate one business to many business connections while maintaining point-to-point connections between each company with each of its trading partners.

Abstract: As described herein, various embodiments of the present invention use an output space refinement machine learning model to filter C of the B candidate predictive associations that are referred to herein as dynamically-preselected candidate predictive associations for each prediction input data object, with every prediction input data object being associated with a different subset of the dynamically-preselected candidate predictive associations, where C is less than B and is in some embodiments typically much less than B. As described in greater detail below, this approach reduces the number of computational operations that need to be performed by a final classification machine learning model (referred to herein as a variable-output-space prediction machine learning model), and leads to substantial computational efficiency advantages relative to naïve implementations.

Abstract: The disclosure generally pertains to systems and methods for contact center channel merging. In an example method, a first inbound communication associated with a vehicle event may be received from a first vehicle component of a vehicle via a first communication medium, the first inbound communication including a first identifier. A second inbound communication associated with the vehicle event may be received from a second vehicle component of the vehicle via a second communication medium, the second inbound communication including a second identifier. It may be determined that a first time associated with the first inbound communication and a second time associated with the second inbound communication are within a predetermined threshold, and that the first identifier and the second identifier are both associated with the vehicle. At least one notification may be sent based in part on an aggregation of the first inbound communication and the second inbound communication.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations configured to integrate distinct clustering schemes given temporal variations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating integrative predicted scores based at least in part on at least one of: within-cluster consistency scores determined for clusters determined using a first clustering scheme (e.g., a service clustering scheme), within-cluster consistency scores determined for clusters determined using a second clustering scheme (e.g., a recipient clustering scheme), cross-cluster consistency scores, and cross-temporal consistency scores.

Abstract: A task definition is received. The task definition indicates at least a location from which one or more software image can be obtained and information usable to determine an amount of resources to allocate to one or more software containers for the one or more software image. A set of virtual machine instances in which to launch the one or more software containers is determined, the one or more software image is obtained from the location included in the task definition and is launched as the one or more of software containers within the set of virtual machine instances.

Abstract: The present disclosure provides methods for generating sugars from a cellulosic biomass. The methods combine treatment of the biomass using a high-shear milling device and saccharification of the biomass to partially hydrolyze the biomass. The biomass can be saccharified either after or simultaneously with the high-shear milling treatment. The partially hydrolyzed biomass is then separated into a solids stream with saccharification enzymes, and a liquid stream with sugars. The solids stream and associated enzymes are further incubated under saccharification conditions to produce additional sugars, or are recycled and added to fresh biomass, which is saccharified under high-shear milling conditions. The methods result in improved conversion of cellulosic biomass to glucose.

Abstract: A task definition is received. The task definition indicates at least a location from which one or more software image can be obtained and information usable to determine an amount of resources to allocate to one or more software containers for the one or more software image. A set of virtual machine instances in which to launch the one or more software containers is determined, the one or more software image is obtained from the location included in the task definition and is launched as the one or more of software containers within the set of virtual machine instances.

Abstract: The present disclosure provides methods for generating sugars from a cellulosic biomass. The methods combine treatment of the biomass using a high-shear milling device and saccharification of the biomass to partially hydrolyze the biomass. The biomass can be saccharified either after or simultaneously with the high-shear milling treatement. The partially hydrolyzed biomass is then separated into a solids stream with saccharification enzymes, and a liquid stream with sugars. The solids stream and associated enzymes are further incubated under saccharification conditions to produce additional sugars, or are recycled and added to fresh biomass, which is saccharified under high-shear milling conditions. The methods result in improved conversion of cellulosic biomass to glucose.

Abstract: A network-based virtual computing resource provider may offer virtual compute instances that implement rolling resource credits for scheduling virtual computing resources. Work requests for a virtual compute instance may be received at a virtualization manager. A resource credit balance may be determined for the virtual compute instance. The resource credit balance may accumulate resource credits in rolling fashion, carrying over unused credits from previous time periods. Resource credits may then be applied when generating scheduling instructions to provide to a physical resource to perform the work requests, such as a physical CPU in order to increase the utilization of the resource according to the number of credits applied. Applied resource credits may then be deducted from the credit balance.

Abstract: A task definition is received. The task definition indicates at least a location from which one or more software image can be obtained and information usable to determine an amount of resources to allocate to one or more software containers for the one or more software image. A set of virtual machine instances in which to launch the one or more software containers is determined, the one or more software image is obtained from the location included in the task definition and is launched as the one or more of software containers within the set of virtual machine instances.