Abstract: The subject technology generates depth data using a machine learning model based at least in part on captured image data from at least one camera of a client device. The subject technology applies, to the captured image data and the generated depth data, a 3D effect based at least in part on an augmented reality content generator. The subject technology generates a depth map using at least the depth data. The subject technology generates a packed depth map based at least in part on the depth map, the generating the packed depth map. The subject technology converts a single channel floating point texture to a raw depth map. The subject technology generates multiple channels based at least in part on the raw depth map. The subject technology generates a segmentation mask based at least on the captured image data. The subject technology performs background inpainting and blurring of the captured image data using at least the segmentation mask to generate background inpainted image data.

Abstract: A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

Abstract: During a round of decentralized learning for updating of a global machine learning (ML) model, remote processor(s) of a remote system may transmit, to a population of computing devices, primary weights for a primary version of the global ML model, and cause each of the computing devices to generate a corresponding update for the primary version of the global ML model. Further, the remote processor(s) may cause the primary version of the global ML model to be updated based on the corresponding updates that are received during the round of decentralized learning. However, the remote processor(s) may receive other corresponding updates subsequent to the round of decentralized learning. Accordingly, various techniques described herein (e.g., FARe-DUST, FeAST on MSG, and/or other techniques) enable the other corresponding updates to be utilized in achieving a final version of the global ML model.

Abstract: In one example an apparatus comprises a computer readable memory, an XMSS operations logic to manage XMSS functions, a chain function controller to manage chain function algorithms, a secure hash algorithm-2 (SHA2) accelerator, a secure hash algorithm-3 (SHA3) accelerator, and a register bank shared between the SHA2 accelerator and the SHA3 accelerator. Other examples may be described.

Abstract: A method for forming a composite part involves forming a layup comprising (a) preforms/flat form-factor feedstock, either of which includes a plurality of fibers and a matrix precursor, and (b) a differential-melt polymer. The matrix precursor and the differential-melt polymer differ as to at least one of thermal properties and rheological properties. The layup is subjected to controlled application of heat and pressure to melt the matrix precursor and differential-melt polymer. The polymers are then cooled to form a composite part that displays properties attributable to all the constituents. As a function of a variety of factors, the resulting part can be homogenous or heterogenous, and the properties can be localized or global throughout the part.

Abstract: Fiber-composite parts that incorporate a very thin electrical circuit, and a method for making the parts via compression molding, are disclosed. The electrical circuit is encapsulated by a film having a melting point that exceeds the maximum temperature to which the film is exposed during compression molding. The electrical circuit is disposed in a composite ply, in a lay-up of composite plies, and electrical leads are routed through the composite plies so that the lead are accessible in the molded fiber-composite part.

Abstract: A method for forming a composite part involves forming a layup comprising (a) preforms/flat form-factor feedstock, either of which includes a plurality of fibers and a matrix precursor, and (b) a differential-melt polymer. The matrix precursor and the differential-melt polymer differ as to at least one of thermal properties and rheological properties. The layup is subjected to controlled application of heat and pressure to melt the matrix precursor and differential-melt polymer. The polymers are then cooled to form a composite part that displays properties attributable to all the constituents. As a function of a variety of factors, the resulting part can be homogenous or heterogenous, and the properties can be localized or global throughout the part.