Abstract: At least one shooter-side image sensor captures images of a plurality of shooters and a plurality of respective firearms periodically fired by the shooters. At least one target-side sensor collects data indicative of projectile strikes on a target area associated with at least one target. A processing unit analyzes images captured by the shooter-side image sensor and detects projectile discharges in response to firing of the firearms, and uniquely identifies each of the shooters associated with the detected projectile discharges. The processing unit detections of projectile strikes, based on the data collected by the target-side sensor, and the detected projectile discharges and identifies, for each detected projectile strike on the target area, the correspondingly fired firearm associated with the uniquely identified shooter.

Abstract: Methods for intelligent automatic merging of source control queue items are performed by systems and apparatuses. Project changes are submitted in build requests to a gated check-in build queue requiring successful builds to commit changes to a code repository according to source control. Multiple pending build requests in the build queue are intelligently and automatically merged into a single, pending merged request based on risk factor values associated with the build requests. For merged requests successfully built, files in the build requests are committed and the build requests are removed from the queue. Merged requests unsuccessfully built are divided into equal subsets based on updated risk factor values using information from the unsuccessful build. Successful builds of subsets allow for committing of files and removal from the build queue, while unsuccessful builds are further divided and processed until single build requests are processed to identify root cause errors.

Abstract: A system trains usage of a firearm and includes an end unit, a processing subsystem, and a control subsystem remotely located from the end unit. The end unit includes an image sensor that is positioned against a target that has a bar code. The image sensor defines a field of view of a scene that includes the target, and the bar code stores encoded information that defines a target coverage zone. The system selectively operates in a first mode and a second mode according to input from the control subsystem. In the first mode the end unit scans the bar code to extract the target coverage zone. In the second mode the image sensor captures a series of images of the target coverage zone, and the processing subsystem analyzes regions of the captured series of images to determine a strike, by a projectile of the firearm, on the target.

Abstract: A system for protecting a database against a ransomware attack includes a database backup handler configured to selectively output database backup data associated with a database to a storage device. A ransomware detector is configured to monitor changes to the database and to detect data changes to the database resulting from a ransomware attack. A ransomware remediator communicates with the ransomware detector and the database backup handler and is configured to restore data in the database to a point prior to the ransomware attack based upon the backup data in the storage device.

Abstract: Methods, systems, apparatuses, and computer program products are provided for increasing an efficiency of queries in program code. A plurality of queries is detected in program code. A laziness is extended by which the queries are evaluated in the program code. The queries are decomposed into a plurality of query components. A ruleset that includes a plurality of rules is applied to the query components to generate a functionally equivalent query set to the plurality of queries that evaluates more efficiently relative to the plurality of queries.

Abstract: At least one shooter-side image sensor captures images of a plurality of shooters and a plurality of respective firearms periodically fired by the shooters. At least one target-side sensor collects data indicative of projectile strikes on a target area associated with at least one target. A processing unit analyzes images captured by the shooter-side image sensor and detects projectile discharges in response to firing of the firearms, and uniquely identifies each of the shooters associated with the detected projectile discharges. The processing unit detections of projectile strikes, based on the data collected by the target-side sensor, and the detected projectile discharges and identifies, for each detected projectile strike on the target area, the correspondingly fired firearm associated with the uniquely identified shooter.

Abstract: A projection assembly displays a virtual driving environment, associated with a vehicle, in the interior portions of an actual vehicle. A capture and processing subsystem includes at least one image sensor and at least one processor, and is removably mounted to the interior of the actual vehicle and is operatively coupled to the projection assembly. The image sensor has a field of view encompassing at least a portion of a driver's side area of the actual vehicle. The processor translates a vehicle operating action performed by a driver of the vehicle to a virtual action in the virtual driving environment. The translation is based in part on images captured by the image sensor.

Abstract: Described technologies automatically detect computing system security attacks. Departure of occurrence distributions, which are based on leading digit(s) of digital item occurrence data, from model distributions that correspond to particular data sources, indicates a presence likelihood for particular attack types. Some model distributions exhibit Benford's Phenomenon. Described mechanisms detect security attack types such as ransomware, bitcoin mining, and others, using particular corresponding data sources such as file extensions, processor statistics, etc. Mechanisms detect security attacks without a captured baseline of healthy normal behavior, and without relying on malware code signatures. When an item occurrence distribution departs from a model distribution by at least a predefined degree, the technology electronically raises a security attack alert. Then countermeasures may be asserted for a possible type X security attack on the computing system.

Abstract: An anti-ransomware system protects data in cloud storage of a cloud services provider against a ransomware attack. A backup handler is configured to at least one of: selectively retrieve backup data generated by the cloud services provider from the cloud storage; and selectively generate backup data based on the data in the cloud storage and output the backup data to a storage device. A ransomware detector is configured to detect data changes to the data resulting from a ransomware attack. A ransomware remediator communicates with the ransomware detector and the backup handler and is configured to restore the data to a state prior to the ransomware attack based upon the backup data.

Abstract: Non-limiting examples of the present disclosure relate to automated presentation control during presentation of one or more digital documents. Processing operations described herein may be configured to work with any type of application/service, where examples described herein extend to presentation of any type of digital document(s) including slide-based presentations. Speech signals may be detected while a digital document is being presented. The detected speech signals may be converted to text. The converted text may be matched with contextual data (e.g., pre-processed content) associated with the digital document. Probability scoring for determination of a next placement position of a digital document may be generated based on the matching of converted text with the contextual data of the digital document. The next placement position may be selected based on the generated probability scoring. Display of the digital document may be automatically updated to reflect the selected next placement position.

Abstract: A projection assembly displays a virtual driving environment, associated with a vehicle, in the interior portions of an actual vehicle. A capture and processing subsystem includes at least one image sensor and at least one processor, and is removably mounted to the interior of the actual vehicle and is operatively coupled to the projection assembly. The image sensor has a field of view encompassing at least a portion of a driver's side area of the actual vehicle. The processor translates a vehicle operating action performed by a driver of the vehicle to a virtual action in the virtual driving environment. The translation is based in part on images captured by the image sensor.

Abstract: A system trains usage of a firearm and includes an end unit, a processing subsystem, and a control subsystem remotely located from the end unit. The end unit includes an image sensor that is positioned against a target that has a bar code. The image sensor defines a field of view of a scene that includes the target, and the bar code stores encoded information that defines a target coverage zone. The system selectively operates in a first mode and a second mode according to input from the control subsystem. In the first mode the end unit scans the bar code to extract the target coverage zone. In the second mode the image sensor captures a series of images of the target coverage zone, and the processing subsystem analyzes regions of the captured series of images to determine a strike, by a projectile of the firearm, on the target.

Abstract: The misuse of public key, private key, and public/private key certificates poses significant security challenges to computer networks that are addressed by certificate monitoring. Certificate monitoring allows network administrators to detect and remedy poor security practices related to public key certificates and to detect and combat the malicious use of public key certificates in a centralized environment. Best practices and detection methods and systems are developed over time via machine learning to improve network security, and any detected misuse may be brought to a network administrator's attention or automatically remedied.

Abstract: Methods, systems, apparatuses, and computer program products are provided for transforming asynchronous code into more efficient, logically equivalent asynchronous code; Program code is converted into a first syntax tree. A dependency graph is generated from the first syntax tree with each node of the dependency graph corresponding to a code statement and having an assigned weight. Weighted topological sorting of the dependency graph is performed to generate a sorted dependency graph. A second syntax tree is generated from the sorted dependency graph. In another implementation, the program code is transformed into await-relaxed and/or loop-relaxed program code prior to being transformed into the first syntax tree.

Abstract: Methods for intelligent automatic merging of source control queue items are performed by systems and apparatuses. Project changes are submitted in build requests to a gated check-in build queue requiring successful builds to commit changes to a code repository according to source control. Multiple pending build requests in the build queue are intelligently and automatically merged into a single, pending merged request based on risk factor values associated with the build requests. For merged requests successfully built, files in the build requests are committed and the build requests are removed from the queue. Merged requests unsuccessfully built are divided into equal subsets based on updated risk factor values using information from the unsuccessful build. Successful builds of subsets allow for committing of files and removal from the build queue, while unsuccessful builds are further divided and processed until single build requests are processed to identify root cause errors.

Abstract: Described technologies automatically detect computing system security attacks. Departure of occurrence distributions, which are based on leading digit(s) of digital item occurrence data, from model distributions that correspond to particular data sources, indicates a presence likelihood for particular attack types. Some model distributions exhibit Benford's Phenomenon. Described mechanisms detect security attack types such as ransomware, bitcoin mining, and others, using particular corresponding data sources such as file extensions, processor statistics, etc. Mechanisms detect security attacks without a captured baseline of healthy normal behavior, and without relying on malware code signatures. When an item occurrence distribution departs from a model distribution by at least a predefined degree, the technology electronically raises a security attack alert. Then countermeasures may be asserted for a possible type X security attack on the computing system.

Abstract: A system trains usage of a firearm and includes an end unit, a processing subsystem, and a control subsystem remotely located from the end unit. The end unit includes an image sensor that is positioned against a target that has a bar code. The image sensor defines a field of view of a scene that includes the target, and the bar code stores encoded information that defines a target coverage zone. The system selectively operates in a first mode and a second mode according to input from the control subsystem. In the first mode the end unit scans the bar code to extract the target coverage zone. In the second mode the image sensor captures a series of images of the target coverage zone, and the processing subsystem analyzes regions of the captured series of images to determine a strike, by a projectile of the firearm, on the target.

Abstract: A system for protecting a database against a ransomware attack includes a database backup handler configured to selectively output database backup data associated with a database to a storage device. A ransomware detector is configured to monitor changes to the database and to detect data changes to the database resulting from a ransomware attack. A ransomware remediator communicates with the ransomware detector and the database backup handler and is configured to restore data in the database to a point prior to the ransomware attack based upon the backup data in the storage device.

Abstract: An anti-ransomware system protects data in cloud storage of a cloud services provider against a ransomware attack. A backup handler is configured to at least one of: selectively retrieve backup data generated by the cloud services provider from the cloud storage; and selectively generate backup data based on the data in the cloud storage and output the backup data to a storage device. A ransomware detector is configured to detect data changes to the data resulting from a ransomware attack. A ransomware remediator communicates with the ransomware detector and the backup handler and is configured to restore the data to a state prior to the ransomware attack based upon the backup data.

Abstract: The misuse of public key, private key, and public/private key certificates poses significant security challenges to computer networks that are addressed by certificate monitoring. Certificate monitoring allows network administrators to detect and remedy poor security practices related to public key certificates and to detect and combat the malicious use of public key certificates in a centralized environment. Best practices and detection methods and systems are developed over time via machine learning to improve network security, and any detected misuse may be brought to a network administrator's attention or automatically remedied.