Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Disclosed is a cloud services exchange platform that provides for multi-tenant orchestration with a flexible underlay facilitating tenant move with minimal disruption. Multi-tenant node engines are adapted to orchestrate the instantiation, hosting, and/or provisioning of services to one or more endpoints on behalf of a customer. Multiple dataplanes are associated with the cloud services exchange platform.

Abstract: An anomalous period of operation of a database management system is detected by analyzing a time series of data points indicating the number of database queries pending processing by the system. Conditions associated with execution of the pending database queries are recorded and analyzed to identify conditions correlated with the anomalous period of operation. A recommendation for tuning the database is generated based on analysis of the conditions.

Abstract: In some implementations, a method for controlling a learning machine to predict fluid holdup in a borehole comprises generating an expanded dataset of simulated pulsed neutron logging (PNL) data based, at least in part, on an original dataset of empirical PNL data, converting, using one or more calibration coefficients, the simulated PNL data into lab-equivalent synthetic data, and training an ensemble of machine learning models based on the lab-equivalent synthetic data.

Abstract: Disclosed is a cloud services exchange platform that provides for multi-tenant orchestration with a flexible underlay facilitating tenant move with minimal disruption. Multi-tenant node engines are adapted to orchestrate the instantiation, hosting, and/or provisioning of services to one or more endpoints on behalf of a customer. Multiple dataplanes are associated with the cloud services exchange platform.

Abstract: Various processes for efficiently and effectively determining or predicting whether data stored in a non-volatile storage device is unreadable and/or unrecoverable during a read-retry process. To make the determination, different dynamic read threshold (DRT) entries of a dynamic read threshold (DRT) table are applied, in parallel, across different planes of the non-volatile storage device to determine whether the data is unreadable and/or unrecoverable.

Abstract: Various processes for efficiently and effectively determining or predicting whether data stored in a non-volatile storage device is unreadable and/or unrecoverable during a read-retry process. To make the determination, different dynamic read threshold (DRT) entries of a dynamic read threshold (DRT) table are applied, in parallel, across different planes of the non-volatile storage device to determine whether the data is unreadable and/or unrecoverable.

Abstract: Handling personally identifiable information (PII) in data streams is provided. Processed sensor data is received, from a plurality of vehicles including sensors capturing raw sensor data, the raw sensor data including captured PII and non-PII. The processed sensor data includes simulated PII created based on the captured PII and one or more layers of the captured PII corresponding to the simulated PII. A request is received from a client device for a portion of the processed sensor data. Access keys corresponding to the request are identified. A result is constructed according to the access keys using the processed sensor data. The constructed result is sent to the client device responsive to the request.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Disclosed is a controller with an application-agnostic customer gateway comprising a dataplane management gateway, a dataplane management engine configured to take care of intent of platform-agnostic customer requests by onboarding on a nearest-to-customer platform and splitting requests into granular tasks to be carried out in a given region, a customer gateway for providing customer access to a customer network, a tenant management engine, a tenant provisioning engine, and a resource management engine.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Disclosed is a cloud services exchange platform that provides for multi-tenant orchestration with a flexible underlay facilitating tenant move with minimal disruption. Multi-tenant node engines are adapted to orchestrate the instantiation, hosting, and/or provisioning of services to one or more endpoints on behalf of a customer. Multiple dataplanes are associated with the cloud services exchange platform.

Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Handling personally identifiable information (PII) in data streams is provided. Processed sensor data is received, from a plurality of vehicles including sensors capturing raw sensor data, the raw sensor data including captured PII and non-PII. The processed sensor data includes simulated PII created based on the captured PII and one or more layers of the captured PII corresponding to the simulated PII. A request is received from a client device for a portion of the processed sensor data. Access keys corresponding to the request are identified. A result is constructed according to the access keys using the processed sensor data. The constructed result is sent to the client device responsive to the request.

Abstract: A storage system has a memory with primary and secondary blocks. Data is stored redundantly in the primary and secondary memory blocks but in a different programming order. For example, data is programmed in the first memory block starting at a first wordline and ending at a last wordline, while data is programmed in the second memory block starting at the last wordline and ending at the first wordline.

Abstract: A storage system has a memory with primary and secondary blocks. Data is stored redundantly in the primary and secondary memory blocks but in a different programming order. For example, data is programmed in the first memory block starting at a first wordline and ending at a last wordline, while data is programmed in the second memory block starting at the last wordline and ending at the first wordline.

Abstract: A memory device includes logic to detect the last page written in multi-plane non-volatile memory. The device includes a memory array, and a storage controller. The memory array includes multiple planes and multiple word lines operable on the memory array. The storage controller is configured to divide the word lines into contiguous sub-ranges and assign a subset of the word lines to boundaries of the sub-ranges. Each word line of the subset of word lines is assigned to a page in a different one of the memory planes. The controller operates the subset of word lines to sense a page programmed or erased state from each of the memory planes in parallel.

Abstract: A memory device includes logic to detect the last page written in multi-plane non-volatile memory. The device includes a memory array, and a storage controller. The memory array includes multiple planes and multiple word lines operable on the memory array. The storage controller is configured to divide the word lines into contiguous sub-ranges and assign a subset of the word lines to boundaries of the sub-ranges. Each word line of the subset of word lines is assigned to a page in a different one of the memory planes. The controller operates the subset of word lines to sense a page programmed or erased state from each of the memory planes in parallel.

Abstract: A storage system and method for smart folding are provided. In one example, the storage system has a memory with a plurality of single level cell (SLC) blocks and a multi-level cell (MLC) block. The MLC block has a plurality of pages, each with a different sense time. The storage system tracks a read count of each of the plurality of SLC blocks and determines how to fold the plurality of SLC blocks into the plurality of pages based on the read count of each of the plurality of SLC blocks and the sense time of each of the plurality of pages. In this way, SLC blocks with higher read counts can be folded into pages that have faster sense times.