Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.

Abstract: A method may include determining an action associated with field development planning or asset management of an oilfield based on a policy or value function and a state, simulating a reward of the action using information identifying the action and the state as inputs, generating an experience record based on executing the simulation, wherein the experience record identifies the simulated reward associated with the action and a current state or resulting state, storing the experience record in an experience buffer, wherein the experience buffer stores a plurality of previously generated experience records, updating the policy or value function based on the information stored in the experience buffer, selecting an action related to the field development planning based on the updated policy, and displaying information representing the action.

Abstract: A subsurface structure identification system includes one or more processors and a memory coupled to the one or more processors. The memory is encoded with instructions that when executed by the one or more processors cause the one or more processors to provide a convolutional neural network trained to identify a subsurface structure in an input migrated seismic volume, and to partition the input migrated seismic volume into multi-dimensional sub-volumes of seismic data. The instructions also cause the one or more processors to process each of the multi-dimensional sub-volumes of seismic data in the convolutional neural network, and identify the subsurface structure in the input migrated seismic volume based on a probability map of the input migrated seismic volume generated by the convolutional neural network.

Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.

Abstract: A system and method for creating an electronic document chronology. The method includes applying a machine learning model to an application data set to determine a plurality of connecting events representing a plurality of electronic document changes, wherein each connecting event is between a first entity and a second entity of a plurality of entities, wherein the first entity of each connecting event is an electronic document, wherein the application data set includes first electronic document change data and a plurality of first entity identifiers of the plurality of entities; and creating a document chronology graph based on the plurality of connecting events, wherein the document chronology graph includes a plurality of nodes and a plurality of edges, wherein each node represents one of the plurality of entities, wherein each edge represents one of the plurality of connecting events.

Abstract: Systems and methods for distributed ledger-based identity management are disclosed. In one embodiment, a computer-based method for managing attestations may include: (1) receiving, by a computer program executed by an electronic device for an identity consumer and from an identity provider, a notification from an identity provider server that an attestation is available, wherein the attestation may be generated by the identity provider based on authorization from a system operator and may include a chain of trust comprising an identification of the system operator and the identity provider; (2) requesting, by the computer program, the attestation from the identity provider; and (3) downloading, by the computer program, the attestation to an identity consumer electronic wallet for the identity consumer. The identity provider may commit the downloading of the attestation to a distributed ledger, wherein the distributed ledger maintains a current status for the attestation.

Abstract: A system and method for creating an electronic document chronology. The method includes applying a machine learning model to an application data set to determine a plurality of connecting events representing a plurality of electronic document changes, wherein each connecting event is between a first entity and a second entity of a plurality of entities, wherein the first entity of each connecting event is an electronic document, wherein the application data set includes first electronic document change data and a plurality of first entity identifiers of the plurality of entities; and creating a document chronology graph based on the plurality of connecting events, wherein the document chronology graph includes a plurality of nodes and a plurality of edges, wherein each node represents one of the plurality of entities, wherein each edge represents one of the plurality of connecting events.

Abstract: Various computer-implemented methods for utilizing a modified upper confidence bound (UCB) in an agent-simulator environment in well placement planning for oil fields are disclosed herein. A set of well placement sequences for placing well in a geographical region may be received, where each well placement sequent defines a sequence of multiple oil wells to be placed within the geographical region. A computer-implemented simulation may be executed on each of the well placement sequences to determine, for each of the well placement sequences, a reward based upon a calculated hydrocarbon recovery and a cost of the calculated hydrocarbon recovery. The well placement sequences may be iteratively selected for the computer-implemented simulations using the modified UCB algorithm and based upon the rewards determined for each of the plurality of well placement sequences.

Abstract: A method for generating a visual illustration of data organized in a multiway graph is provided. In an embodiment, a computer system maintains a plurality of nodes and edges within a multiway graph and displays a visual user interface with a first node positioned at the center of the visual user interface and child nodes positioned at radially symmetric positions surrounding the first node. The computer system receives a first input that specifies a selection of a first child node. In response to receiving the first input, the computer system updates the visual user interface to display: the first node, positioned at the center; the child nodes, positioned at radially symmetric positions surrounding the first node; the first child node positioned below the first node; and grandchild nodes of the first child node, displayed as polygons positioned at radially symmetric positions around a circular area surrounding the child nodes.

Abstract: A method for generating a visual illustration of data organized in a multiway graph is provided. In an embodiment, a computer system maintains a plurality of nodes and edges within a multiway graph and displays a visual user interface with a first node positioned at the center of the visual user interface and child nodes positioned at radially symmetric positions surrounding the first node. The computer system receives a first input that specifies a selection of a first child node. In response to receiving the first input, the computer system updates the visual user interface to display: the first node, positioned at the center; the child nodes, positioned at radially symmetric positions surrounding the first node; the first child node positioned below the first node; and grandchild nodes of the first child node, displayed as polygons positioned at radially symmetric positions around a circular area surrounding the child nodes.

Abstract: A method for generating a visual illustration of data organized in a multiway graph is provided. In an embodiment, a computer system maintains a plurality of nodes and edges within a multiway graph and displays a visual user interface with a first node positioned at the center of the visual user interface and child nodes positioned at radially symmetric positions surrounding the first node. The computer system receives a first input that specifies a selection of a first child node. In response to receiving the first input, the computer system updates the visual user interface to display: the first node, positioned at the center; the child nodes, positioned at radially symmetric positions surrounding the first node; the first child node positioned below the first node; and grandchild nodes of the first child node, displayed as polygons positioned at radially symmetric positions around a circular area surrounding the child nodes.

Abstract: In general, in one aspect, the disclosure describes a network interface device (NID) that can be remotely instructed to power-up powered-down network devices by generating magic packets that instruct the powered-down network device to power-up and to broadcast the magic packets to the network devices connected thereto. Utilizing the NID to generate the magic packets means that the MAC ID is only broadcast within the network (more secure). The NID may configure the network devices that may be powered-on and any limitations thereto (e.g., user, remote device). The MAC IDs associated with the network devices may be stored in the NID so that the user need not know it. The NID may be remotely instructed to power-down powered-up network devices (generate and broadcast magic packets that instruct powered-up network devices to power-down) by a remote device having access to the NID.