Abstract: An integrated circuit (IC) includes one or more active transistors and multiple series-coupled dummy transistors. The dummy transistors are coupled between two active transistors and/or at the ends of each active transistor. When the dummy transistors are coupled between two active transistors, apart from two conductive regions that are coupled to two active transistors, each remaining conductive region of the dummy transistors is maintained in a floating state to control a leakage current between the two active transistors. Similarly, when the dummy transistors are coupled at an end of one active transistor, apart from one conductive region that is coupled to the active transistor, each remaining conductive region of the dummy transistors is maintained in the floating state to control a leakage current between the active transistor and the dummy transistors.

Abstract: Described herein are systems, methods, and software to manage connection attempts between gateways. In one implementation, a first gateway monitors failure information associated with a peer connection with a second gateway and determines when the failure information satisfies criteria. When the failure information satisfies criteria, the first gateway notifies the second gateway and a management service of the failure and initiates a remediation period for communications associated with the peer connection. In response to the expiration of the remediation period, the first gateway initiates a connection attempt with the second gateway.

Abstract: In some implementations, there is provided a method that includes monitoring, by an application uptime system, whether execution of an application is successful without causing an incident; in response to the execution of the application being unsuccessful and causing the incident, the method further comprising: collecting one or more end user incident reports including an incident identifier, a start time of the incident, and a stop time of the incident, collecting one or more development system incident reports linked to the one or more end user incident reports, determining at least one end user metric for the application, generating one or more user interface views based on the at least one end user metric for the application, and causing to be presented the one or more user interface views. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: In some implementations, there is provided a method that includes monitoring, by an application uptime system, whether execution of an application is successful without causing an incident; in response to the execution of the application being unsuccessful and causing the incident, the method further comprising: collecting one or more end user incident reports including an incident identifier, a start time of the incident, and a stop time of the incident, collecting one or more development system incident reports linked to the one or more end user incident reports, determining at least one end user metric for the application, generating one or more user interface views based on the at least one end user metric for the application, and causing to be presented the one or more user interface views. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: An integrated circuit including a functional circuit, a tuning circuit, and a control circuit is provided. The functional and control circuits generate an output signal and a digital code, respectively. The tuning circuit tunes the functional circuit based on the digital code to control an attribute of the output signal. The digital code is iteratively adjusted such that the attribute of the output signal is maintained within a predefined range. When the digital code corresponds to a cliff value, the digital code for a subsequent iteration is adjusted by a non-unit offset value such that a difference between the attribute for the cliff value and for the subsequent digital code is within a tolerance limit. The digital code is indicative of coarse and fine parameters, and for each value of the coarse parameter, the cliff value corresponds to the lowest or highest value of the fine parameter.

Abstract: A method, computer system, and a computer program product for classification training are provided. A deep learning model is trained with a first dataset that includes annotated samples that include a first and second class. Last hidden state features corresponding to respective tokens from prototypes of the first and second class are saved. The trained deep learning model is further trained with a second dataset that includes additional annotated samples that include the first and second class and a third class. The further training includes performing a cosine similarity loss optimization and a cross entropy loss optimization. The cosine similarity loss optimization is of last hidden state features resulting from the further trained deep learning model and the first class and the second class compared to the saved last hidden state features. The cross entropy loss optimization is for classification of the first, second, and the third class.

Abstract: A bootstrap switch circuit includes a transistor-based switch controlled by a first gate signal and a leakage protection transistor controlled by a second gate signal configured to reduce gate induced drain leakage in the transistor-based switch A first gate driver is included that produces a first gate signal at its output so that the first gate signal turns on the transistor-based switch during a sampling mode and turns off the transistor-based switch during a hold mode. A second gate driver is included that produces a second gate signal at its output and to receive the output signal of the bootstrap switch circuit so that the second gate signal turns on the leakage protection transistor during the sampling mode and turns off the leakage protection transistor during the hold mode and the second gate signal is based upon the output signal of the bootstrap switch circuit.

Abstract: A bootstrap switch circuit includes a transistor-based switch controlled by a first gate signal and a leakage protection transistor controlled by a second gate signal configured to reduce gate induced drain leakage in the transistor-based switch A first gate driver is included that produces a first gate signal at its output so that the first gate signal turns on the transistor-based switch during a sampling mode and turns off the transistor-based switch during a hold mode. A second gate driver is included that produces a second gate signal at its output and to receive the output signal of the bootstrap switch circuit so that the second gate signal turns on the leakage protection transistor during the sampling mode and turns off the leakage protection transistor during the hold mode and the second gate signal is based upon the output signal of the bootstrap switch circuit.

Abstract: An integrated circuit including a functional circuit, a tuning circuit, and a control circuit is provided. The functional and control circuits generate an output signal and a digital code, respectively. The tuning circuit tunes the functional circuit based on the digital code to control an attribute of the output signal. The digital code is iteratively adjusted such that the attribute of the output signal is maintained within a predefined range. When the digital code corresponds to a cliff value, the digital code for a subsequent iteration is adjusted by a non-unit offset value such that a difference between the attribute for the cliff value and for the subsequent digital code is within a tolerance limit. The digital code is indicative of coarse and fine parameters, and for each value of the coarse parameter, the cliff value corresponds to the lowest or highest value of the fine parameter.

Abstract: A low current, adaptively-biased switched resistor digital-to-analog converter (RDAC) circuit, method and apparatus are provided with a coarse trim ladder and a fine trim ladder connected with a plurality of NFET switches to generate an output reference voltage from an input supply voltage, where the bulk semiconductor substrate regions for the NFET switches in at least the fine trim ladder are driven by a unity gain buffer which is connected in feedback to receive the output reference voltage and to generate a buffered reference voltage which is directly connected to bulk semiconductor regions of the NFET switches, thereby providing a low current, low circuit area solution with reduced leakage current and temperature variation.

Abstract: A patient access determination system configured to extract health related data from a data source to form extracted health data, generate a plurality of data pipelines for conveying the extracted health data, and store the extracted health data conveyed over one or more of the data pipelines in a data model to form stored health data. The data model includes tables for organizing and storing the extracted health data. The system also determines from at least the patient encounter data forming part of the stored health data a number of lost appointments that can be recovered by the healthcare facility and apply one or more machine learning models to the stored health data to generate predictions therefrom. The system can also generate one or more user interfaces for displaying selected portions of the stored health data and the predictions.

Abstract: A temperature sensor includes a sensing element and a load. Multiple different currents pass through the sensing element in a sequential manner. Based on each current that passes through the sensing element, the sensing element outputs a complementary-to-absolute-temperature (CTAT) voltage and another current. Further, the currents that pass through the sensing element and the currents that the sensing element output separately pass through the load and result in the generation of multiple load voltages across the load. A current density ratio of the temperature sensor is determined based on the load voltages generated across the load. Further, a temperature value indicative of a temperature sensed by the temperature sensor is generated based on the current density ratio and the CTAT voltages outputted by the sensing element based on the different currents that pass therethrough.

Abstract: A data management and storage (DMS) cluster of peer DMS nodes manages migration of an application between a primary compute infrastructure and a secondary compute infrastructure. The secondary compute infrastructure may be a failover environment for the primary compute infrastructure. Primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines. Secondary snapshots of the virtual machines are generated, where the secondary snapshots are incremental snapshots of the primary snapshots. In failback, the secondary snapshots are provided to the primary compute infrastructure, where they are combined with the primary snapshots into construct a current state of the application, and the application is deployed in the current state by deploying virtual machines on the primary compute infrastructure.

Abstract: A method, computer system, and a computer program product for information extraction is provided. The present invention may include receiving, by a handwriting detection model of an integrated system, a mixed-text document including a combination of typed text and handwritten text, where the received mixed-text document includes at least one key-value pair. The present invention may also include receiving, by the handwriting detection model of the integrated system, a first location information of at least one key from the at least one key-value pair in the received mixed-text document. The present invention may further include detecting, by the handwriting detection model of the integrated system, at least one handwritten text in the received mixed-text document based on the received first location information of the at least one key.

Abstract: An integrated circuit (IC) includes one or more active transistors and multiple series-coupled dummy transistors. The dummy transistors are coupled between two active transistors and/or at the ends of each active transistor. When the dummy transistors are coupled between two active transistors, apart from two conductive regions that are coupled to two active transistors, each remaining conductive region of the dummy transistors is maintained in a floating state to control a leakage current between the two active transistors. Similarly, when the dummy transistors are coupled at an end of one active transistor, apart from one conductive region that is coupled to the active transistor, each remaining conductive region of the dummy transistors is maintained in the floating state to control a leakage current between the active transistor and the dummy transistors.

Abstract: A data management and storage (DMS) cluster of peer DMS nodes manages migration of an application between a primary compute infrastructure and a secondary compute infrastructure. The secondary compute infrastructure may be a failover environment for the primary compute infrastructure. Primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines. Secondary snapshots of the virtual machines are generated, where the secondary snapshots are incremental snapshots of the primary snapshots. In failback, the secondary snapshots are provided to the primary compute infrastructure, where they are combined with the primary snapshots into construct a current state of the application, and the application is deployed in the current state by deploying virtual machines on the primary compute infrastructure.

Abstract: Methods, systems, and computer program products for accelerating inference of transformer-based models are provided herein. A computer-implemented method includes obtaining a machine learning model comprising a plurality of transformer blocks, a task, and a natural language dataset; generating a compressed version of the machine learning model based on the task and the natural language dataset, wherein the generating comprises: obtaining at least one set of tokens, wherein each token in the set corresponds to one of the items in the natural language dataset, identifying and removing one or more redundant output activations of different ones of the plurality of transformer blocks for the at least one set of tokens, and adding one or more input activations corresponding to the one or more removed output activations into the machine learning model at subsequent ones of the plurality of the transformer blocks; and outputting the compressed version of the machine learning model to at least one user.

Abstract: A temperature sensor includes a sensing element and a load. Multiple different currents pass through the sensing element in a sequential manner. Based on each current that passes through the sensing element, the sensing element outputs a complementary-to-absolute-temperature (CTAT) voltage and another current. Further, the currents that pass through the sensing element and the currents that the sensing element output separately pass through the load and result in the generation of multiple load voltages across the load. A current density ratio of the temperature sensor is determined based on the load voltages generated across the load. Further, a temperature value indicative of a temperature sensed by the temperature sensor is generated based on the current density ratio and the CTAT voltages outputted by the sensing element based on the different currents that pass therethrough.

Abstract: A data management and storage (DMS) cluster of peer DMS nodes manages migration of an application between a primary compute infrastructure and a secondary compute infrastructure. The secondary compute infrastructure may be a failover environment for the primary compute infrastructure. Primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines. Secondary snapshots of the virtual machines are generated, where the secondary snapshots are incremental snapshots of the primary snapshots. In failback, the secondary snapshots are provided to the primary compute infrastructure, where they are combined with the primary snapshots into construct a current state of the application, and the application is deployed in the current state by deploying virtual machines on the primary compute infrastructure.

Abstract: A data management and storage (DMS) cluster of peer DMS nodes manages data of an application distributed across a set of machines of a compute infrastructure. A DMS node associates a set of machines with the application, and generates data fetch jobs for the set of machines for execution by multiple peer DMS nodes. The DMS node determining whether each of the data fetch jobs for the set of machines is ready for execution by the peer DMS nodes. In response to determining that each of the data fetch jobs is ready for execution, the peer DMS nodes execute the data fetch jobs to generate snapshots of the set of machines. The snapshots may be full or incremental snapshots, and collectively form a snapshot of the application.