Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Systems and methods for additive manufacturing. In some examples, a system includes a frame defining an interior volume and an overhead robotic arm suspended from a gantry on a ceiling of the frame. The system includes manufacturing subsystems located within the interior volume of the frame. The system includes a control system configured for controlling the overhead robotic arm for parts movement among additive manufacturing processes using the manufacturing subsystems. The manufacturing subsystems can include one or more of: a microassembly station, an aerosol jetting print station, an intense pulsed light (IPL) photonic sintering station, a fiber weaving station, and a 3D printing station.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: An embodiment of a method of performing an energy industry operation includes storing one or more sets of instructions at a storage location accessible by a controller configured to control aspects of an energy industry operation, the one or more sets of instructions retrieved from a library of sets of instructions, each set of instructions prescribing a standard procedure for performing a process forming part of the energy industry operation, the standard procedure based on best operating practices developed from previously performed operations independent of the process to be performed. The method also includes deploying a carrier in a borehole in an earth formation and performing an energy industry operation, monitoring the operation and, in response to detecting a condition associated with the process, automatically retrieving the set of instructions corresponding to the process, and automatically performing the process by the controller according to the retrieved set of instructions.

Abstract: A polycrystalline diamond (PCD) composite compact element comprising a PCD structure bonded to a cemented carbide substrate, in which at least a peripheral region of the substrate comprises cemented carbide material having a mean free path (MFP) characteristic of at least about 0.1 microns and at most about 0.7 microns; and an elastic limit of at least about 1.9 GPa.

Abstract: An embodiment of a method of performing an energy industry operation includes storing one or more sets of instructions at a storage location accessible by a controller configured to control aspects of an energy industry operation, the one or more sets of instructions retrieved from a library of sets of instructions, each set of instructions prescribing a standard procedure for performing a process forming part of the energy industry operation, the standard procedure based on best operating practices developed from previously performed operations independent of the process to be performed. The method also includes deploying a carrier in a borehole in an earth formation and performing an energy industry operation, monitoring the operation and, in response to detecting a condition associated with the process, automatically retrieving the set of instructions corresponding to the process, and automatically performing the process by the controller according to the retrieved set of instructions.

Abstract: A polycrystalline diamond (PCD) composite compact element comprising a PCD structure bonded to a cemented carbide substrate, in which at least a peripheral region of the substrate comprises cemented carbide material having a mean free path (MFP) characteristic of at least about 0.1 microns and at most about 0.7 microns; and an elastic limit of at least about 1.9 GPa.

Abstract: A femoral neck resection guide assembly for use in minimally invasive hip surgery is disclosed. The assembly includes a guide portion having at least two spaced resection guide surfaces for guiding a cutting tool. A bushing and fastener elements are also included in the assembly for cooperating with and fixing the guide portion to the bone. Preferably, the assembly allows for initial connection of the guide portion to the bone and polyaxial rotation of the guide before such is statically affixed.

Abstract: To improve drilling performance, a drilling fluid is selected based on one or more criteria and to have at least one target characteristic. Drilling equipment is used to drill a wellbore, and the selected drilling fluid is provided into the wellbore during drilling with the drilling equipment. The at least one target characteristic of the drilling fluid includes an ability of the drilling fluid to penetrate into formation cuttings during drilling to weaken the formation cuttings.

Abstract: A polycrystalline diamond (PCD) composite compact element comprising a PCD structure bonded to a cemented carbide substrate, in which at least a peripheral region of the substrate comprises cemented carbide material having a mean free path (MFP) characteristic of at least about 0.1 microns and at most about 0.7 microns; and an elastic limit of at least about 1.9 GPa.

Abstract: A device for use in connection with a bone, comprising a first surface and a second surface spaced apart from each other at a predetermined distance and angled relative to each other along a portion thereof. The device having a first ridge projecting from the first surface in a direction away from the second surface, the first ridge extending substantially along a length of the first surface, and a second ridge projecting from the second surface in a direction away from the first surface, the second ridge extending substantially along a length of the second surface in a direction substantially parallel to the first ridge. The device further includes a remote surface positioned more distant from the center of a bone, a proximate surface positioned more near the center of a bone, a fixed end surface, and a removable end surface extending in a first direction.

Abstract: To improve drilling performance, a drilling fluid is selected based on one or more criteria and to have at least one target characteristic. Drilling equipment is used to drill a wellbore, and the selected drilling fluid is provided into the wellbore during drilling with the drilling equipment. The at least one target characteristic of the drilling fluid includes an ability of the drilling fluid to penetrate into formation cuttings during drilling to weaken the formation cuttings.