Abstract: A method includes: receiving an integrated circuit design including a plurality of sub-circuits and one or more clocks to be distributed to the sub-circuits; setting one or more constraints on generating a clock network for a selected clock of the one or more clocks of the integrated circuit design; building, by a processor, a clock tree graph for the clock network for the selected clock based on a cached initial clock tree graph stored in a memory connected to the processor, the clock tree graph comprising nodes corresponding to the sub-circuits; generating a pin topology for the clock network based on the clock tree graph and the integrated circuit design; and placing, based on the pin topology, one or more pins for the clock network at one or more sides of the sub-circuits within the integrated circuit design to generate a pin placement for the clock network.

Abstract: A system determines physical design information along a logic hierarchy of a circuit design. The system accesses physical design metrics associated with different parts of a physical design of a circuit. The system accesses a logic design of the circuit comprising a hierarchy of logic blocks. The system determines the physical design metrics associated with one or more logic blocks of the hierarchy of the logic design based on a relation between the physical design and the logic design. The system configures a user interface to display the hierarchy of the logic design of the circuit along with the physical design metrics associated with the one or more logic blocks of the hierarchy. The system sends the configured user interface for display.

Abstract: A method includes receiving a circuit design. The circuit design includes blocks, a clock port, and two or more clock sinks across the blocks. The method further includes determining, by one or more processors, a common clock path between the clock port and the two or more clock sinks across the blocks. Further, the method includes determining a clock latency based on the common clock path.

Abstract: A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

Abstract: A shutdown criterion is determined to be met with respect to a cluster. Responsive to determining that the shutdown criterion is met, a request router is configured to route requests addressed to the cluster to a destination that indicates that the cluster is unavailable. A request to shut down the cluster is transmitted. A request to start the cluster is received. The request is initiated via the destination that indicates that the cluster is unavailable. In response to receiving the request to start the cluster, the cluster is started and the request router is configured to direct, to the cluster, requests addressed to the cluster.

Abstract: Disclosed embodiments relate to systems and methods for automatic payment distribution. Techniques include validating, based on user-specified rules that the received file form data fields match user requirements, determining whether to authenticate a form based on the validation, calculating payment eligibility and payment amount, authorizing recipient payments, and notifying the recipient.

Abstract: A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

Abstract: A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

Abstract: A processing device identifies a first clock tree topology for a circuit design, the first clock tree topology having a threshold feedthrough count and a first timing solution. The processing device further identifies one or more additional clock tree topologies for the circuit design, each of the one or more additional clock tree topologies having a different respective feedthrough count that is less than the threshold feedthrough count, and each of the one or more additional clock tree topologies comprising a respective timing solution. In addition, the processing device receives a selection of at least one of the first clock tree topology or the one or more additional clock tree topologies, and generates the circuit design according to the selection.

Abstract: A system determines physical design information along a logic hierarchy of a circuit design. The system accesses physical design metrics associated with different parts of a physical design of a circuit. The system accesses a logic design of the circuit comprising a hierarchy of logic blocks. The system determines the physical design metrics associated with one or more logic blocks of the hierarchy of the logic design based on a relation between the physical design and the logic design. The system configures a user interface to display the hierarchy of the logic design of the circuit along with the physical design metrics associated with the one or more logic blocks of the hierarchy. The system sends the configured user interface for display.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform tracking respective duration data for each respective item of items in a catalog based on purchase histories; measuring a reorder rate for the each respective item within one or more first periods of time; generating a Weibull distribution for the each respective item; training a machine learning model based on previous orders by the users; generating, using the machine learning model, as trained, a ranked list of one or more first items for a user of the users, a respective predicted quantity for each of the one or more first items, and an average basket size for the user; receiving a request for recommended items from the user using a user interface; and sending the ranked list of the one or more first items to be displayed on the user interface. Other embodiments are disclosed.

Abstract: Techniques for enrolling a user in an organization directory include receiving a first request from a first user for inclusion in the directory configured to facilitate access to a collaboration application, the first request including a least a first user profile item for the first user; generating a first user account for the user assigned a first set of permissions and including a first user profile listing the first user profile item; providing a first level of access to the directory; receiving a second request from a second user transitioning the first user account from the first set of permissions to a second, broader set of permissions; verifying a first user identity for the first user based on the second request; assigning the first user account the second set of permissions; automatically updating the directory; and providing a second level of access to the directory to the first user.

Abstract: The disclosed system and method provide a way to easily review, audit, and modify multiple users' security access authority. The disclosed system and method may include using a trained bot that is trained using a machine learning algorithm to retrieve user profile information from a complex network of tables stored in a relational database and to analyze the user profile information to generate a recommendation to revoke or approve at least one user's security access authority for at least one transaction type. In some embodiments, the disclosed system and method allow for a human expert to revoke or approve at least one user's security access authority for at least one transaction type based on the recommendation. In some embodiments, the disclosed system and method determine whether to revoke or approve at least one user's security access authority for at least one transaction type and may also revoke or approve the at least one user's security access authority based on the decision.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform tracking respective duration data for each respective item of items in a catalog based on purchase histories; measuring a reorder rate for the each respective item within one or more first periods of time; generating a Weibull distribution for the each respective item; training a machine learning model based on previous orders by the users; generating, using the machine learning model, as trained, a ranked list of one or more first items for a user of the users, a respective predicted quantity for each of the one or more first items, and an average basket size for the user; receiving a request for recommended items from the user using a user interface; and sending the ranked list of the one or more first items to be displayed on the user interface. Other embodiments are disclosed.

Abstract: The disclosed system and method provide a way to easily review, audit, and modify multiple users' security access authority. The disclosed system and method may include using a trained bot that is trained using a machine learning algorithm to retrieve user profile information from a complex network of tables stored in a relational database and to analyze the user profile information to generate a recommendation to revoke or approve at least one user's security access authority for at least one transaction type. In some embodiments, the disclosed system and method allow for a human expert to revoke or approve at least one user's security access authority for at least one transaction type based on the recommendation. In some embodiments, the disclosed system and method determine whether to revoke or approve at least one user's security access authority for at least one transaction type and may also revoke or approve the at least one user's security access authority based on the decision.

Abstract: In one embodiment, a computer-implemented method for using customer context to detonate malware may be performed by one or more computing devices, each comprising one or more processors. The method may include receiving an artefact associated with a first device being targeted by malware, simulating in a controlled environment attributes of the first device based at least in part on the artefact, executing the malware in the controlled environment while the attributes of the first device are being simulated, and performing a security action with respect to the malware based at least in part on the execution of the malware in the controlled environment.

Abstract: Techniques for enrolling a user in an organization directory include receiving a first request from a first user for inclusion in the directory configured to facilitate access to a collaboration application, the first request including a least a first user profile item for the first user; generating a first user account for the user assigned a first set of permissions and including a first user profile listing the first user profile item; providing a first level of access to the directory; receiving a second request from a second user transitioning the first user account from the first set of permissions to a second, broader set of permissions; verifying a first user identity for the first user based on the second request; assigning the first user account the second set of permissions; automatically updating the directory; and providing a second level of access to the directory to the first user.

Abstract: The disclosed computer-implemented method for detecting geolocation-aware malware may include (1) receiving, by a computing device, trajectory information for network traffic carrying geolocation-aware malware, (2) identifying, from the trajectory information, a target geolocation characteristic required to activate the geolocation-aware malware, (3) establishing, on an image of a user machine, an execution environment having the target geolocation characteristic, (4) running, on the image of the user machine, the geolocation-aware malware, and (5) analyzing functioning of the geolocation-aware malware to identify malicious activity by the geolocation-aware malware. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A messaging system for effecting effect instant messaging communication sessions (chats) between users of the messaging system allows “actions” to be exchanged in chats. The actions are generated in an action database. A template-creating user can create a custom action template for generating actions, which is only available to certain users.

Abstract: Techniques for automating the generation and analysis of fundus drawings are described. Captured images undergo image processing to extract information about image features. Fundus images are generated and recommended labels for the fundus drawing are generated. Fundus drawings can be analyzed and undergo textual processing to extract existing labels. Machine learning models and co-occurrence analysis can be applied to collections of fundus images and drawings to gather information about commonly associated labels, label locations, and user information. The most frequently used labels associated with the image can be identified to improve recommendations and personalize labels.