Abstract: According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.

Abstract: According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.

Abstract: Systems, methods, and storage media for optimizing automated modelling of resource allocation are disclosed. Exemplary implementations include operations for: receive or retrieve by a computer system, operational information associated with a plurality of users; allocate, by the computer system, at least a first time portion to at least a first task associated with a first user of the plurality of users based on analysis of the operational information; and dynamically modify, by the computer system, the first time portion responsive to receiving or retrieving additional operational information over time.

Abstract: A computing cooling system includes a chassis having chassis air inlet(s) and outlet(s). Heat dissipation device(s) thermally coupled to heat producing component(s) are located in the chassis adjacent the chassis air outlet(s). A first fan device located in the chassis adjacent the chassis air inlet(s) pulls first air from outside the chassis into the first fan device via the chassis air inlet(s), and pushes the first air though the heat dissipation device(s) and out of the chassis via the chassis air outlet(s). A second fan device located in the chassis adjacent the chassis air inlet(s) pulls second air from outside the chassis into the second fan device via the chassis air inlet(s), pushes a first portion of the second air past the heat dissipation device(s) and out of the chassis via the chassis air outlet(s), and pushes a second portion of the second air into the chassis.

Abstract: A power-subsystem-monitoring-based computing system includes a power subsystem coupled to a first computing component. A throttling engine throttles the first computing component when the power subsystem exceeds its maximum power consumption, and de-throttles the first computing component when the power subsystem no longer exceeds its maximum power consumption. The throttling engine also throttles the first computing component when the power subsystem exceeds its rated power consumption for a first time period, and de-throttles the first computing component when the power subsystem no longer exceeds its rated power consumption.

Abstract: A networked system includes a first computing device, second computing devices, and a computing device/application performance optimization system that are all coupled to a network. The computing device/application performance optimization system receives second computing device configuration information for each second computing device while they provided a first application, and second computing device performance information generated by each second computing device in response to providing the first application, and uses them to generate a first computing device/application performance profile.

Abstract: A multi-stage computing framework may allow development, in an unrestricted computing region, of one or more computing resources that are transferred to, and deployed in, a restricted computing region. The computing framework may include a development module and a transfer module. The development module may allow development of the computing resources in the unrestricted computing region, for example including stages such as a resource creation, linting, scanning, validation, packaging and requesting of the transfer. The transfer module may allow management of the transfer of the computing resources from the unrestricted computing region to the restricted computing region, for example including stages such as control, transfer request queueing, performance of the transfer, transfer notification and transfer visualization.

Abstract: A computing cooling system includes a chassis having chassis air inlet(s) and outlet(s). Heat dissipation device(s) thermally coupled to heat producing component(s) are located in the chassis adjacent the chassis air outlet(s). A first fan device located in the chassis adjacent the chassis air inlet(s) pulls first air from outside the chassis into the first fan device via the chassis air inlet(s), and pushes the first air though the heat dissipation device(s) and out of the chassis via the chassis air outlet(s). A second fan device located in the chassis adjacent the chassis air inlet(s) pulls second air from outside the chassis into the second fan device via the chassis air inlet(s), pushes a first portion of the second air past the heat dissipation device(s) and out of the chassis via the chassis air outlet(s), and pushes a second portion of the second air into the chassis.

Abstract: A computing device cooling system includes a chassis including chassis surface(s). The chassis houses component(s), chassis surface temperature sensor(s) configured to report a chassis surface temperature associated with the chassis surface(s), component temperature sensor(s) configured to report a component temperature associated with the component(s); a first fan system configured to generate a component cooling airflow that reduces the component temperature of the component(s), and a second fan system configured to generate a chassis surface cooling airflow that reduces the chassis surface temperature of the chassis surface(s). A fan control system is coupled to the chassis surface temperature sensor(s), the component temperature sensor(s), the first fan system, and the second fan system.

Abstract: A computing cooling system includes a chassis, heat dissipation device(s) in the chassis, a first fan system in the chassis configured to generate a first airflow that is directed past the heat dissipation device(s) and out of the chassis, and a second fan system in the chassis configured to generate a second airflow that is that is directed into the chassis. A board in the chassis includes a first board section located adjacent the first fan system, and a second board section located adjacent the second fan system and configured to receive the second airflow. The first board section includes first components that are thermally coupled to the heat dissipation device(s) and that are configured to operate in a first temperature range, and the second board section includes second components that are configured to operate in a second temperature range that is lower than the first temperature range.

Abstract: A processing system concurrency optimization system includes a processing system having first and second processing subsystems, a power system that is coupled to the first and second processing subsystems, a processing system concurrency optimization database, and a processing system concurrency optimization subsystem that is coupled to the power system and the processing system concurrency optimization database. The processing system concurrency optimization subsystem determines that a first workload has been provided for performance by the processing system, and identifies a first processing system concurrency optimization profile that is associated with the first workload in the processing system concurrency optimization database.

Abstract: A networked system includes a first computing device, second computing devices, and a computing device/application performance optimization system that are all coupled to a network. The computing device/application performance optimization system receives second computing device configuration information for each second computing device while they provided a first application, and second computing device performance information generated by each second computing device in response to providing the first application, and uses them to generate a first computing device/application performance profile.

Abstract: Systems, methods, and storage media for optimizing automated modelling of resource allocation are disclosed. Exemplary implementations include operations for: receive or retrieve by a computer system, operational information associated with a plurality of users; allocate, by the computer system, at least a first time portion to at least a first task associated with a first user of the plurality of users based on analysis of the operational information; and dynamically modify, by the computer system, the first time portion responsive to receiving or retrieving additional operational information over time.

Abstract: A phase change memory cell for a semiconductor device that includes a heater element on a first conductive layer with a spacer surrounding sides of the heater element. The phase change memory cell includes a first dielectric layer on the conductive layer and on a bottom portion of the spacer surrounding the heater element and a second dielectric layer on the first dielectric layer surrounding a top portion of the heater element. The phase change memory cell includes a phase change material on a top surface of the heater element and on the second dielectric material.

Abstract: Method and apparatus for measuring and influencing article selection in a social network are disclosed. A learning-and-guiding module tracks access to articles by users of the social network and determines patterns of users' attraction to articles based on contents of articles and attributes of users. The module utilizes learned user-articles characteristics to influence article selection through communicating with users through the social network. The module relies on historical usage data characterizing user's affinity to articles. To guard against usage data obsolescence due to shifting interests, usage data are frequently adjusted to place more emphasis on recent usage patterns.

Abstract: A method for making a distilled spirit includes distilling a liquor comprising alcohol to form a distilled liquor; and contacting the distilled liquor with peat. The peat may include peat dry matter. The peat may include dried peat. The peat may include partially charred peat. The peat may include 50 wt-% or less of inorganic carbon on a dry weight basis. The peat may be arranged in a filter cartridge. The distilled liquor may be contacted with the peat for at least 5 seconds. A composition includes distilled liquor comprising alcohol and water; and peat. The peat may include peat dry matter. The peat may include dried peat. The peat may include partially charred peat. The peat may include 50 wt-% or less of inorganic carbon on a dry weight basis. The composition may include 40 vol-% or more of alcohol based on liquid components of the composition.

Abstract: A marketing inference engine determines prospective clients, drawn from a population of users, for a commodity. A set of relevant consumer traits is conjectured or determined from data relevant to prior clients of the commodity. Massive data characterizing the population is analysed to determine a superset of user communities of the population of users, each community corresponding to a respective trait of a predefined superset of traits. A set of primary communities, corresponding to the set of relevant consumer traits, is selected from the superset of communities. A set of secondary communities, each determined to have a significant kinship to the set of primary communities, is selected from the superset of communities. A set of primary prospective clients is determined from the primary communities. An expanded set of prospective clients is determined from both the primary communities and the secondary communities.

Abstract: Method and apparatus for measuring and influencing article selection in a social network are disclosed. A learning-and-guiding module tracks access to articles by users of the social network and determines patterns of users' attraction to articles based on contents of articles and attributes of users. The module utilizes learnt user-articles characteristics to influence article selection through communicating with users through the social network. The module relies on historical usage data characterizing user's affinity to articles. To guard against usage data obsolescence due to shifting interests, usage data are frequently adjusted to place more emphasis on recent usage patterns.

Abstract: A light scattering method and apparatus are disclosed whereby the presence of the COVID-19 virus in a designated volume of ambient air may be confirmed within a few hours from the analysis of its contents. By such means, the near real-time presence of viral constituents within airborne regions of meetings, gatherings, presentations, and even the ICUs of hospitals themselves, may be confirmed and often quantified. The present invention provides such means to find, separate, and identify specifically such fractions: an important early warning of their presence and the current dangers they pose. The same methods described may be applied also for the detection of airborne bacteria.

Abstract: A method and apparatus for machine-aided marketing are disclosed. A hardware processor executes instructions for tracking a population of social-media users, segmenting the population of users into a set of clusters based on individual user properties, acquiring metrics of user behaviour, and determining saturation of candidate metrics within each cluster based on the individual user metrics. The method identifies a set of distinctive metrics and corresponding distinct clusters according to metric-saturation levels. To promote a specific commodity, the method determines compatible distinctive metrics and at least one distinct cluster. Various means of communicating with users of the at least one distinct cluster may then be employed.