Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.

Abstract: In a general aspect, risks associated with cryptography usage in network communication between computing nodes are identified. In some aspects, a network packet capture agent obtains cryptography usage data by examining network traffic communicated by computing nodes in the computing environment. A cryptography usage analysis agent identifies cryptography usage risks based on the cryptography usage data. A cryptographic risk identification agent identifies one or more applications associated with the cryptography usage risks.

Abstract: In a general aspect, risks associated with cryptography usage in network communication between computing nodes are identified. In some aspects, a network packet capture agent obtains cryptography usage data by examining network traffic communicated by computing nodes in the computing environment. A cryptography usage analysis agent identifies cryptography usage risks based on the cryptography usage data. A cryptographic risk identification agent identifies one or more applications associated with the cryptography usage risks.

Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.

Abstract: In a general aspect, risks associated with cryptography usage in network communication between computing nodes are identified. In some aspects, a network packet capture agent obtains cryptography usage data by examining network traffic communicated by computing nodes in the computing environment. A cryptography usage analysis agent identifies cryptography usage risks based on the cryptography usage data. A cryptographic risk identification agent identifies one or more applications associated with the cryptography usage risks.

Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.

Abstract: A media stream cue point creator receives a media stream comprising at least one of an audio portion or a video portion, wherein the media stream lacks at least one indicator of a content segment within the media stream. The media stream cue point creator identifies a first segment of the plurality of segments of the media stream, wherein the segment corresponds to a segment in a segment reference data store, and creates a cue point associated with the first segment, wherein the cue point identifies at least one of a beginning or an end of the first content segment in the media stream.

Abstract: A media stream cue point creator receives a media stream comprising at least one of an audio portion or a video portion, wherein the media stream lacks at least one indicator of a content segment within the media stream. The media stream cue point creator identifies a first segment of the plurality of segments of the media stream, wherein the segment corresponds to a segment in a segment reference data store, and creates a cue point associated with the first segment, wherein the cue point identifies at least one of a beginning or an end of the first content segment in the media stream.

Abstract: A media stream cue point creator receives a media stream comprising at least one of an audio portion or a video portion, wherein the media stream lacks at least one indicator of a content segment within the media stream. The media stream cue point creator identifies a first segment of the plurality of segments of the media stream, wherein the segment corresponds to a segment in a segment reference data store, and creates a cue point associated with the first segment, wherein the cue point identifies at least one of a beginning or an end of the first content segment in the media stream.

Abstract: A media stream cue point creator receives a media stream comprising at least one of an audio portion or a video portion, wherein the media stream lacks at least one indicator of a content segment within the media stream. The media stream cue point creator identifies a first segment of the plurality of segments of the media stream, wherein the segment corresponds to a segment in a segment reference data store, and creates a cue point associated with the first segment, wherein the cue point identifies at least one of a beginning or an end of the first content segment in the media stream.

Abstract: Systems for the recovery of heat from hot air exhaust from industrial processes, and the utilization of recovered heat to generate steam at two discrete (high and low) pressures. The systems match steam production with demand. The systems utilize efficient finned tube exchange units made up of modular sections that can be selectively associated with either high or low pressure steam generators. The systems utilize separate steam domes for each of the discrete steam pressures. The steam dome components may be structured apart from the heat exchange components. Each steam dome utilizes its own sensor and control instrumentation to vary the allocation of heat recovered to either or both the high or low pressure steam generator. The two generator subsystems are linked to operate variably according to demand. Monitoring upstream heat and downstream steam requirements allow for automated operation and allocation of recovered heat into the two subsystems.

Abstract: A mobile exercise device includes a body and a plurality of glide members. The body includes a pair of parallel ridges defining an elongated rectangular centre portion, wherein respective length and width dimensions of the centre portion are sized to enable a user to stand with one foot positioned longitudinally on the centre portion/ The centre portion further includes a transversally oriented elongated opening sized to receive fingers of a user's hand, to thereby permit a user to grasp the centre portion. The glide members are affixed to the body outboard of the ridges, and facilitate omnidirectional movement of the device across a floor surface. The glide members further define a clearance distance between the centre portion and the floor surface which is larger than an expected thickness of the user's fingers.

Abstract: A method and apparatus for providing a welding output and an auxiliary output from a generator having a field winding, an auxiliary output winding and a welding output winding is disclosed. One or both of a welding output and an auxiliary output are detected, and feedback signals indicative of the presence or absence of one or both of a welding output and an auxiliary output are provided. A controller, preferably an electronic field controller includes an auxiliary output regulator enabled or disabled by the output detector feedback signal and a welding regulator enabled or disabled by the output detector feedback, such that one and only one of the auxiliary output regulator and welding regulator is enabled. The auxiliary output regulator is connected to an auxiliary output feedback circuit, thereby providing closed loop control, preferably with a CV output.

Abstract: A method and apparatus for providing a welding output and an auxiliary output from a generator having a field winding, an auxiliary output winding and a welding output winding is disclosed. One or both of a welding output and an auxiliary output are detected, and feedback signals indicative of the presence or absence of one or both of a welding output and an auxiliary output are provided. A controller, preferably an electronic field controller includes an auxiliary output regulator enabled or disabled by the output detector feedback signal and a welding regulator enabled or disabled by the output detector feedback, such that one and only one of the auxiliary output regulator and welding regulator is enabled. The auxiliary output regulator is connected to an auxiliary output feedback circuit, thereby providing closed loop control, preferably with a CV output.