Abstract: In some implementations, a method comprises generating a training dataset including a plurality of sample systems tracts each associated with a respective sample rate of change of subsidence and a respective sediment supply. The method also may comprise training a learning machine to indicate predicted systems tracts for wells based on the plurality of sample system tracts and their respective sample rate of change of subsidence and respective sample sediment supplies.

Abstract: A method comprising obtaining a thickness for each of one or more sediment packages of a subsurface formation. The method comprises generating a thickness profile of each of the one or more sediment packages based on the thickness. The method comprises obtaining one or more properties of each of the one or more sediment packages based on the thickness profile. The method comprises generating, via a learning machine, one or more sediment package classifications based on the one or more properties. The method comprises and performing a subsurface operation based on the one or more sediment package classifications.

Abstract: A cloud security control platform and method enforces security controls across multiple cloud environments, services and disparate teams while providing a frictionless “Permissions on Demand” mechanism for approvals and exceptions. In contrast to the prior art, security is evaluated on a permission by permission basis, with the default being that all permissions are denied and then only given to a particular identity on an as-needed basis. This approach reduces the security risks associated with the vast capabilities available in Public Cloud environments and permits an organization that uses the platform to grant access, approve exceptions and delegate approvals with the appropriate compliance.

Abstract: A first password is received by a password encoder which uses the first password to generate a first key. This first key is used to modify weights and biases of an encoder to result in a modified encoder. Further, weights and biases of a decoder operating in tandem with the encoder based can be modified based on a second key to result in a modified decoder. First data is received which encapsulates second data in a hidden compartment. The first data is encoded by the modified encoder to result to generate an embedding. The modified decoder decodes the embedding to result in a representation of the second data which, in turn, can be provided to a consuming application or process. The first data can be input into the encoder and the decoder prior to those components being modified to result in a representation of the first data.

Abstract: Some implementations include a method for detecting leaks across a geological fault. The method may include determining probabilities of smears and smear breaches along a fault plane of the geological fault; and determining, based on the probabilities, one or more leak points through which hydrocarbon fluid leaks from a subsurface reservoir.

Abstract: The present invention provides processes for the preparation of 3, 5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and novel intermediates used therein. In some embodiments the 3, 5-Dihydroxy-4-isopropyl-trans-stilbene is prepared from (E)-2-chloro-2-isopropyl-5-styrylcyclohexane-1,3-dione. Also disclosed are crystal forms of 3, 5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and pharmaceutical compositions comprising same.

Abstract: An encoder receives first data encapsulating second data in a hidden compartment along with a decoder identifier corresponding to either of a first decoder or a second decoder. The encoder then generates an embedding corresponding to the first data. The first decoder decodes the embedding to result in a representation of the first data when the decoder identifier corresponds to the first decoder. The second decoder decodes the embedding to result in a representation of the second data when the decoder identifier corresponds to the second decoder. The decoded embedding can be provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.

Abstract: In general, in one aspect, embodiments relate to a method that includes selecting one or more stratigraphic forward models from a digital analogue library, generating one or more k-layers based at least in part on the one or more selected stratigraphic forward models and one or more generative machine learning models, and predicting thicknesses of one or more geological properties based at least in part on the one or more k-layers.

Abstract: Data is received that characterizes artefacts associated with each of a plurality of layers of a first machine learning model. Fingerprints are then generated for each of the artefacts in the layers of the first machine learning model. These generated fingerprints collectively form a model indicator for the first machine learning model. It is then determined whether the first machine learning model is derived from another machine learning model by performing a similarity analysis between the model indicator for the first machine learning model and model indicators generated for each of a plurality of reference machine learning models each comprising a respective set of fingerprints. Data characterizing the determination can be provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.

Abstract: First data is received which encapsulates second data in a hidden compartment. Thereafter, a password is received by a password encoder which uses such password to generate a key. The first data and the key are combined to generate the second data (i.e., the hidden data). The second data is then provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.

Abstract: First data is received which encapsulates second data in a hidden compartment. Thereafter, a password is received by a password encoder which uses such password to generate a key. The first data and the key are combined to generate the second data (i.e., the hidden data). The second data is then provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.

Abstract: A media terminal includes two integrated currency devices, each device providing at least one feature/operation that is similar to or is the same as the other device. Two independent sessions to each device are made and presented to a transaction application of the terminal as a single aggregated session. When the transaction application issues a command through the single aggregated session, a decision is made that is transparent to the application as to which device should process the command on behalf of the application and the command is issued to the selected device over the corresponding independent session. Results or notifications provided by the selected device are aggregated and provided to the application over the single aggregated session. In an embodiment, the two integrated currency devices are different types of devices from one another.

Abstract: A method and system for generating two or three dimensional computer graphics images using multisample antialiasing (MSAA) is provided, which enables memory bandwidth to be conserved. For each of one or more pixels it is determined whether all of a plurality of sample areas of that pixel are located within a particular primitive. For those pixels where it is determined that all the sample areas of that pixel are located within that primitive, a value is stored in a multisample memory for a smaller number of the sample areas of that pixel than the total number of the sample areas of that pixel and data is stored indicating that all the sample areas of that pixel are located within that primitive.

Abstract: A cloud security control platform and method enforces security controls across multiple cloud environments, services and disparate teams while providing a frictionless “Permissions on Demand” mechanism for approvals and exceptions. In contrast to the prior art, security is evaluated on a permission by permission basis, with the default being that all permissions are denied and then only given to a particular identity on an as-needed basis. This approach reduces the security risks associated with the vast capabilities available in Public Cloud environments and permits an organization that uses the platform to grant access, approve exceptions and delegate approvals with the appropriate compliance.

Abstract: A media terminal includes two integrated currency devices, each device providing at least one feature/operation that is similar to or is the same as the other device. Two independent sessions to each device are made and presented to a transaction application of the terminal as a single aggregated session. When the transaction application issues a command through the single aggregated session, a decision is made that is transparent to the application as to which device should process the command on behalf of the application and the command is issued to the selected device over the corresponding independent session. Results or notifications provided by the selected device are aggregated and provided to the application over the single aggregated session. In an embodiment, the two integrated currency devices are different types of devices from one another.

Abstract: The present disclosure relates to pyrophoric pellets that break apart into individual particulates or agglomerates when exposed to air and emit infrared radiation. The pyrophoric pellets include: (a) about 35 to about 95 wt. % of pyrophoric particles; (b) about 0.05 to about 30 wt. % of one or more thermally expandable particles; (c) about 1 to about 40 wt. % of one or more additives that modify IR signature; and (d) optionally, one or more additives that produce smoke at a temperature of 150° C. or greater. The pyrophoric pellets are particularly useful as countermeasures to protect against incoming missiles.

Abstract: A method comprises obtaining geology data of a subsurface formation and generating a subsurface model of the subsurface formation, the subsurface model including one or more age-attributed geometries of a first age scheme. The method comprises obtaining a first contextual information dataset of a target age scheme and converting each of the one or more age-attributed geometries to a target age-attributed geometry based on the target age scheme. The method comprises integrating the first contextual information dataset into the subsurface model, via the one or more target age-attributed geometries, to generate a context volume. The method comprises performing a subsurface operation based on the context volume.

Abstract: A conference table includes a base and a worksurface supported by the base. The worksurface has a peripheral edge and an aperture having a node and at least three branches extending radially outwardly from the node. The base has a peripheral wall defining an interior space, an opening and a panel moveable between an open position wherein the interior space is accessible through the opening and a closed position wherein the panel is disposed over the opening. One or more electronic components may be coupled to the panel. A cable retention device may be coupled to a utility cable above the worksurface. The cable retention device includes an inlet formed in a peripheral side, a first outlet in communication with the inlet and formed in the peripheral side at a location spaced apart from the inlet, and a second outlet in communication with the inlet and formed in a bottom.

Abstract: Data is received that characterizes artefacts associated with each of a plurality of layers of a first machine learning model. Fingerprints are generated corresponding to each of the artefacts in each layer. The generated fingerprints can collectively form a model indicator for the first machine learning model. A second machine learning model then determines, based on the generated fingerprints, whether the first machine learning model is derived from another machine learning model. Data provided this characterization can be provided to a consuming application or process. This second machine learning model can be trained model with historical fingerprints having a known provenance classification. Related apparatus, systems, techniques and articles are also described.