Abstract: A manufacturing system includes a tape advancing through the manufacturing system and a station of the manufacturing system. The tape includes a first portion having grains of an inorganic material bound by an organic binder. The station of the manufacturing system receives the first portion of the tape and prepares the tape for sintering by chemically changing the organic binder and/or removing the organic binder from the first portion of the tape, leaving the grains of the inorganic material, to form a second portion of the tape and, at least in part, prepare the tape for sintering.

Abstract: Subject matter disclosed herein may relate to wireless energy harvesting devices and may relate more particularly to system-on-a-chip testing for wireless energy harvesting devices.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for creating and/or enhancing hardware obscurity via one or more randomization points, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for an autonomous pseudo-random seed generator (APRSG) for embedded computing devices, which may include IoT-type devices, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

Abstract: Subject matter disclosed herein may relate to wireless energy harvesting devices and may relate more particularly to system-on-a-chip testing for wireless energy harvesting devices.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to enhance capabilities of peer devices. In an implementation, at least one agent to: identify one or more learnable capabilities enabled by one or more parameters that are accessible via receipt of one or more message at the one or more communication devices from one or more other computing devices; and determine a utility of augmenting at least one of the one or more learning engines with at least one of the one or more learnable capabilities.

Abstract: A torque-transfer component has splines configured for engaging a corresponding feature of another component, at least a portion of each spline being hardened before a friction-reducing surface coating is applied to the splines. The splines are preferably hardened by nitriding, carburizing, induction hardening, or laser hardening, and the friction-reducing coating preferably comprises diamond-like carbon or tungsten carbide. The coating can be applied using, for example, physical vapor deposition, chemical vapor deposition, chemically assisted physical vapor deposition, autocatalytic electroless deposition, electroplating, or an oxygen fuel gun.

Abstract: A matrix-based pattern prediction system of the present disclosure is that of a multi-block matrix-based system that operates on an input signal having a time-based pattern that is semi-chaotic. The system includes a wavelet/time conversion block M?, which is representative of a wavelet transformation of a semi-chaotic input signal, and a memory block MP which stores the wavelet coefficients generated by M? in an asymmetric matrix. The system further includes a predictor block MPP, which performs a time shifted symbolic operation on the memory block MP and is, therefore representative of the time shifted wavelet (M?). A Pattern Output block transforms the output predictor block MPP into a time-based output that is predictive of the semi-chaotic time-based input at a future point in time. First and second variables (Cp and Cpp) are automatically generated and used to compensate low (Cp) and high (Cpp) frequency components of an input.

Abstract: A computer-implemented method includes generating, using a scene generator, first candidate scene data; obtaining reference scene data corresponding to a predetermined reference scene; processing the first candidate scene data and the reference scene data, using a scene discriminator, to generate first discrimination data for estimating whether each of the first candidate scene data and the reference scene data corresponds to a predetermined reference scene; updating a set of parameter values for the scene discriminator using the first discrimination data; generating, using the scene generator, second candidate scene data; processing the second candidate scene data, using the scene discriminator with the updated set of parameter values for the scene discriminator, to generate second discrimination data for estimating whether the second candidate scene data corresponds to a predetermined reference scene; and updating a set of parameter values for the scene generator using the second discrimination data.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for creating and/or enhancing hardware obscurity via one or more randomization points, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for an autonomous pseudo-random seed generator (APRSG) for embedded computing devices, which may include IoT-type devices, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

Abstract: A computer-implemented method includes generating, using a scene generator, first candidate scene data; obtaining reference scene data corresponding to a predetermined reference scene; processing the first candidate scene data and the reference scene data, using a scene discriminator, to generate first discrimination data for estimating whether each of the first candidate scene data and the reference scene data corresponds to a predetermined reference scene; updating a set of parameter values for the scene discriminator using the first discrimination data; generating, using the scene generator, second candidate scene data; processing the second candidate scene data, using the scene discriminator with the updated set of parameter values for the scene discriminator, to generate second discrimination data for estimating whether the second candidate scene data corresponds to a predetermined reference scene; and updating a set of parameter values for the scene generator using the second discrimination data.

Abstract: The present disclosure relates generally to Internet of Things (IoT)-type devices and, more particularly, to infrastructure for validating updates via a network of IoT-type devices.

Abstract: The present disclosure relates generally to Internet of Things (IoT)-type devices and, more particularly, to infrastructure for validating updates via a network of IoT-type devices.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for autonomous verification of circuit design for IoT-type devices, which may include, for example, IoT-type devices operating in resource constrained or like environments.

Abstract: Subject matter disclosed herein may relate to at least one processor to establish a communication connection between a portable computing device and a particular external device, the at least one processor to initiate transmission of one or more signal packets representative of one or more communication, security, and/or cryptographic parameters to the particular external device responsive at least in part to the establishing the communication connection.

Abstract: Subject matter disclosed herein may relate to at least one processor to selectively authorize requests from one or more external devices to read from and/or write to particular bio-ledger entries and/or particular biosphere ledger entries based, at least in part, on security tokens provided by the one or more external devices and based, at least in part, on first and/or second sets of particular authorizations.

Abstract: An isocyanate reactive composition for making a polyurethane foam includes a tertiary amine urethane catalyst comprising a di(C1-C4)alkyl fatty alkyl amine and a polyester polyol. The use of one or more of fatty alkyl tertiary amine serves to reduce hydrolysis of the polyester polyol in the isocyanate reactive composition.

Abstract: Subject matter disclosed herein may relate to systems, devices, and/or processes for processing and/or communicating signals and/or states representative of epigenetic content.

Abstract: Subject matter disclosed herein may relate to systems, devices, and/or processes for processing and/or communicating signals and/or states representative of omic and/or environmental content.