Abstract: A method for machine learning based ultrasound image reconstruction can include receiving, at a reconstruction engine, imaging data; generating an initial estimate for a transmission image via a neural network trained (machine or self-learning) on paired transmission ultrasound and reflection ultrasound data; and performing image reconstruction using the initial estimate to generate transmission ultrasound images. The image reconstruction can generate higher quality transmission ultrasound when carried out by using the initial estimate as the starting point for iterative image reconstruction and using transmission data obtained via conventional transmission ultrasound frequencies (e.g. from 0.8 MHz to 1.5 MHz).

Abstract: A method for machine learning based ultrasound image reconstruction can include receiving, at a reconstruction engine, imaging data; generating an initial estimate for a transmission image via a neural network trained (machine or self-learning) on paired transmission ultrasound and reflection ultrasound data; and performing image reconstruction using the initial estimate to generate transmission ultrasound images. The image reconstruction can generate higher quality transmission ultrasound when carried out by using the initial estimate as the starting point for iterative image reconstruction and using transmission data obtained via conventional transmission ultrasound frequencies (e.g. from 0.8 MHz to 1.5 MHz).

Abstract: Techniques for alerting and tagging using a malware analysis platform for threat intelligence made actionable are disclosed. In some embodiments, a system, process, and/or computer program product for alerting and tagging using a malware analysis platform for threat intelligence made actionable includes receiving a plurality of samples for performing automated malware analysis to generate log files based on the automated malware analysis; processing the log files to extract artifacts associated with the log files; determining whether a tag matches any of the plurality of samples based on the artifacts; and performing an action based on whether the tag matches any of the plurality of samples.

Abstract: Techniques for alerting and tagging using a malware analysis platform for threat intelligence made actionable are disclosed. In some embodiments, a system, process, and/or computer program product for alerting and tagging using a malware analysis platform for threat intelligence made actionable includes receiving a plurality of samples for performing automated malware analysis to generate log files based on the automated malware analysis; processing the log files to extract artifacts associated with the log files; determining whether a tag matches any of the plurality of samples based on the artifacts; and performing an action based on whether the tag matches any of the plurality of samples.

Abstract: Techniques for alerting and tagging using a malware analysis platform for threat intelligence made actionable are disclosed. In some embodiments, a system, process, and/or computer program product for alerting and tagging using a malware analysis platform for threat intelligence made actionable includes receiving a plurality of samples for performing automated malware analysis to generate log files based on the automated malware analysis; processing the log files to extract artifacts associated with the log files; determining whether a tag matches any of the plurality of samples based on the artifacts; and performing an action based on whether the tag matches any of the plurality of samples.

Abstract: Techniques for alerting and tagging using a malware analysis platform for threat intelligence made actionable are disclosed. In some embodiments, a system, process, and/or computer program product for alerting and tagging using a malware analysis platform for threat intelligence made actionable includes receiving a plurality of samples for performing automated malware analysis to generate log files based on the automated malware analysis; processing the log files to extract artifacts associated with the log files; determining whether a tag matches any of the plurality of samples based on the artifacts; and performing an action based on whether the tag matches any of the plurality of samples.

Abstract: Changes to a virtual system, such as a set of virtual machines in a data center, may be automatically synchronized with the corresponding physical system. In one implementation, an application may receive information regarding changes made to a virtual system. The application may determine whether the information regarding the changes necessitates a change in the configuration of one or more physical switches, and may reconfigure affected ones of the physical switches for compatibility with the changes made to the virtual system.

Abstract: Techniques for alerting and tagging using a malware analysis platform for threat intelligence made actionable are disclosed. In some embodiments, a system, process, and/or computer program product for alerting and tagging using a malware analysis platform for threat intelligence made actionable includes receiving a plurality of samples for performing automated malware analysis to generate log files based on the automated malware analysis; processing the log files to extract artifacts associated with the log files; determining whether a tag matches any of the plurality of samples based on the artifacts; and performing an action based on whether the tag matches any of the plurality of samples.

Abstract: Changes to a virtual system, such as a set of virtual machines in a data center, may be automatically synchronized with the corresponding physical system. In one implementation, an application may receive information regarding changes made to a virtual system. The application may determine whether the information regarding the changes necessitates a change in the configuration of one or more physical switches, and may reconfigure affected ones of the physical switches for compatibility with the changes made to the virtual system.

Abstract: Changes to a virtual system, such as a set of virtual machines in a data center, may be automatically synchronized with the corresponding physical system. In one implementation, an application may receive information regarding changes made to a virtual system. The application may determine whether the information regarding the changes necessitates a change in the configuration of one or more physical switches, and may reconfigure affected ones of the physical switches for compatibility with the changes made to the virtual system.

Abstract: Changes to a virtual system, such as a set of virtual machines in a data center, may be automatically synchronized with the corresponding physical system. In one implementation, an application may receive information regarding changes made to a virtual system. The application may determine whether the information regarding the changes necessitates a change in the configuration of one or more physical switches, and may reconfigure affected ones of the physical switches for compatibility with the changes made to the virtual system.