Abstract: Techniques are disclosed for utilizing configurable delays in an instruction stream. A set of instructions to be executed on a set of engines are generated. The set of engines are distributed between a set of hardware elements. A set of configurable delays are inserted into the set of instructions. Each of the set of configurable delays includes an adjustable delay amount that delays an execution of the set of instructions on the set of engines. The adjustable delay amount is adjustable by a runtime application that facilitates the execution of the set of instructions on the set of engines. The runtime application is configured to determine a runtime condition associated with the execution of the set of instructions on the set of engines and to adjust the set of configurable delays based on the runtime condition.

Abstract: A memory apparatus and method of operation is provided. The apparatus includes memory cells connected to word lines and bit lines and arranged in strings and configured to retain a threshold voltage. Each of the memory cells is configured to be erased in an erase operation occurring during an erase time period. A control circuit is configured to adjust at least a portion of the erase time period in response to determining the erase operation is a segmented erase operation and is resumed after being suspended. The control circuit applies an erase signal having a plurality of voltage segments temporally separated from one another during the erase time period to each of the strings while simultaneously applying a word line erase voltage to selected ones of the word lines to encourage erasing of the memory cells coupled to the selected ones of the word lines in the segmented erase operation.

Abstract: This application relates to compounds of Formula (I): or pharmaceutically acceptable salts or stereoisomers thereof, which are inhibitors of PI3K-? which are useful for the treatment of disorders such as autoimmune diseases, cancer, cardiovascular diseases, and neurodegenerative diseases.

Abstract: A system described herein may provide a technique for the seamless transfer of services provided by a first Multi-Access/Mobile Edge Computing device (“MEC”) to a User Equipment (“UE”), to a second MEC. Context information associated with a given application for which services are provided by the first MEC may be cached by the UE based on a determination that the second MEC should provide the services, and the UE may provide the cached information to the second MEC in order to seamlessly continue receiving services. The providing of the cached information to the UE and/or to the second MEC may be performed with an elevated priority level, in order to facilitate the seamless providing of the services relating to the application, thus resulting in minimal to no interruption of the user experience associated with the application.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically generates and dynamically updates a multi-displayed dashboard of consistent instances on separate devices and/or network locations. The disclosed framework produces and displays an interactive dashboard including electronic tiles representing data of multiple processes and operations. The framework includes functionality for uniformly maintaining the display characteristics, such as the look and feel of the dashboard and the tiles included therein, across platforms of different devices, operating environments and/or display capabilities.

Abstract: A sensor arrangement includes a switchable voltage source having a source output for alternatively providing a first and a second excitation voltage, an integrator having an integrator input and an integrator output, a sensor resistor having a first terminal coupled to the source output, a reference resistor having a first terminal coupled to a second terminal of the sensor resistor and a second terminal coupled to the integrator input, and a comparator having a first comparator input coupled to the integrator output.

Abstract: An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.

Abstract: A controller includes an accumulation determiner configured to determine a first accumulation value that indicates an amount of accumulation of material on surfaces within a processing chamber and a pressure controller configured to obtain the first accumulation value, obtain at least one of a setpoint pressure an etching step and a duration of the etching step, and, to control the pressure within the processing chamber during the etching step, adjust a control parameter based on (i) the first accumulation value and (ii) the at least one of the setpoint pressure and the duration of the etching step.

Abstract: A domestic cooking stove comprises a frame that mounts a primary tube, one or more of nozzles for fuel injection, knobs for controlling the fuel injection, mixing tubes for modulating pressure gradient, burner tops for combustion of the air fuel mixture, and pan supports to support the vessel, heat reflectors to reflect heat, and legs to support the frame. Each heat reflector is positioned above burner top to provide secondary air entrainment for combustion by reducing a gap between an inner circumference of heat reflector and an outer circumference of the burner top to minimize heat losses. The heat reflector has a curved orientation to reduce heat transfer in a downward direction and generates eddies that increases heat transfer towards vessel bottom. The legs are positioned below the frame and has a predetermined height to maintain a gap between table top and the frame bottom surface for entrainment of air.

Abstract: Various embodiments illustrated herein disclose an axle lock assembly comprising a first plate with a first aperture, a second plate with a second aperture, a shaft, wherein the shaft is inserted through the first aperture and the second aperture and a bush. When the hushing is in contact with the first plate and the second plate, the bush creates a lateral force to move the first plate and the second plate in opposite directions to secure the shaft.

Abstract: A switchable optical assembly comprises a switchable waveplate configured to be electrically activated and deactivated to selectively alter the polarization state of light incident thereon. The switchable waveplate comprises first and second surfaces and a liquid crystal layer disposed between the first and second surfaces. The first liquid crystal layer comprises a plurality of liquid crystal molecules. Said first and second surfaces may be curved. Said plurality of liquid crystal molecules may vary in tilt with respect to said first and second surfaces with outward radial distance from an axis through said first and second surfaces and said liquid crystal layer in a plurality of radial directions. The switchable waveplate additionally comprises a first plurality of electrodes to apply an electrical signal across said first liquid crystal layer.

Abstract: A memory apparatus and method of operation are provided. The apparatus includes memory cells connected to one of a plurality of word lines and arranged in strings and configured to retain a threshold voltage corresponding to one of a plurality of memory states. A control circuit is coupled to the plurality of word lines and strings and is configured to erase the memory cells using a stripe erase operation in response to determining a cycle count is less than a predetermined cycle count maximum threshold. The control circuit is also configured to perform a dummy cycle operation in response to determining the cycle count is not less than the predetermined cycle count maximum threshold.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: A system and method is disclosed for classifying one or more objects within a vicinity of a vehicle. Ultra-sonic data may be received from a plurality of ultra-sonic sensors and may comprise echo signals indicating one or more objects that are proximally located within a vicinity of a vehicle. One or more features may be calculated from the ultra-sonic data using one or more signal processing algorithms unique to each of the plurality of ultra-sonic sensors. The one more features may be combined using a second-level signal processing algorithm to determine geometric relations for the one or more objects. The one or more features may then be statistically aggregated at an object level. The one or more objects may then be classified using a machine learning algorithm that compares an input of each of the one or more features to a trained classifier.

Abstract: A method and system is disclosed for tuning a machine learning classifier. An object class requirement may be provided and include rank thresholds. The object class requirements may also include a range goal that defines a minimum distance from the object the machine learning algorithm should not provide false positive results. A base classifier may be trained using a weighted loss function that includes one or more weight values that are computed using the one or more object class requirements. An output of the weighted loss function may be evaluated using an objective function which may be established using the one or more object class requirements. The one or more weights may also be re-tuned using the weighted loss function if the output of the weighted loss function does not converge within a predetermined loss threshold.

Abstract: Some embodiments provide a method for associating data message flows from applications executing on a host computer with network interfaces of the computer. The method of some embodiments identifies a set of applications operating on a machine executing on the host computer, identifies candidate teaming policies for associating each identified application with a subset of one or more interfaces, and generates a report to display the identified candidate teaming policies per application to a user. In response to user input selecting a first teaming policy for a first application, the method generates a rule, and distributes the rule, to the host computer to associate the first application with a first subset of the network interfaces specified by the first teaming policy.

Abstract: A method and system is disclosed for creating a machine learning model that is reconfigurable. A fixed parameter model is created to include fixed feature values obtained during a training process for the machine learning model. The fixed parameter model may include a fixed base classifier used by the machine learning model to classify objects detected by an ultra-sonic system within a vicinity of a vehicle. A configurable parameter model may be created to include feature values that are different from the fixed feature values, the configurable parameter model including a modified base classifier. A vehicle controller may receive and update the fixed parameter model with the configurable parameter model. The machine learning model may be updated to use the configurable parameter model to classify the objects detected by the ultra-sonic system.

Abstract: Some embodiments provide a method for associating data message flows from applications executing on a host computer with network interfaces of the computer. The method of some embodiments identifies a set of applications operating on a machine executing on the host computer, identifies candidate teaming policies for associating each identified application with a subset of one or more interfaces, and generates a report to display the identified candidate teaming policies per application to a user. In response to user input selecting a first teaming policy for a first application, the method generates a rule, and distributes the rule, to the host computer to associate the first application with a first subset of the network interfaces specified by the first teaming policy.

Abstract: Some embodiments provide a method for associating data message flows from applications executing on a host computer with network interfaces of the computer. The method of some embodiments identifies a set of applications operating on a machine executing on the host computer, identifies candidate teaming policies for associating each identified application with a subset of one or more interfaces, and generates a report to display the identified candidate teaming policies per application to a user. In response to user input selecting a first teaming policy for a first application, the method generates a rule, and distributes the rule, to the host computer to associate the first application with a first subset of the network interfaces specified by the first teaming policy.

Abstract: A bare metal server, or other computing device, may be represented as a JSON file (extending the concept to infrastructure as code) containing hardware, firmware and software versions with links to a kickstarter file depending on the needs of an application, SKU type or some other criteria. Rather than a management node in an L2 network which has a DHCP server to IP lease and facilitate OS installation, a workflow then generates a bootstrap kernel which initializes the bare metal server with an IP address, VLAN, and network gateway which is used to reach out to the network to download and install a kernel, upgrade firmware for various hardware components like BIOS, BMC, NIC, RAID, SSD, NVME, FPGA, etc. The bootstrap kernel may further configure RAID and JBOD, flash custom images on hardware components and may further instruct the server to incrementally download and install an operating system.