Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.

Abstract: Various embodiments are generally directed to systems and techniques to process information in a mesh network environment. Further, embodiments include communicating and processing a targeted advertisement payload on a closed mesh network. The target ad payload can include information such as targeted ad content, a unique hash value, and an incentive offer. The target ad content includes ad content that is presentable on the mesh network. Further, the unique hash value and incentive offer is utilized by one or more nodes to cause the ad content to be presented on nodes outside of the mesh network.

Abstract: Various embodiments are directed to a password security warning system. An artificial neural network or other types of models may be used to determine whether a password that is created, input, or proposed by a user via an interface includes one or more predictable or typical transformations or combinations of characters derived from user-specific information. Based on the determination, a warning may be provided to the user.

Abstract: Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or color space conversions are provided. In various embodiments, a color space of an object is altered based on a movement of the object in relation to an environment. The environment may include two or more segments with a distinct environment color space in relation to one another. The object may transition from one of the two or more environment segments into the other one of the two or more segments. The alteration is based on the transition from the color space of the one of the two or more environment segments into the other one of the two or more environment segments.

Abstract: Techniques to enhance the security of matrix codes. An aggregated matrix code may be scanned to obtain a certain level of access with respect to at least one feature of an application executed on a computer device. The aggregated matrix code may include a user-specific matrix code uniquely assignable to at least one user of a group of users and a base matrix code associated with the group of users.

Abstract: Techniques, devices, and systems to improve detection and security of a displayed image on a screen of a computer device, such as a device, including detection of an object in an environment, where the object has an inverse-colorspace relationship in relation to the colorspace of the environment. A system includes: a first camera device configured to determine a first underlying colorspace corresponding to an environment, a second camera device configured to determine a second underlying colorspace corresponding to either i) an actual change in the environment or ii) a predicted change in the environment, and a computer device configured to determine an inverse colorspace of at least one of i) the first underlying colorspace or ii) the second underlying colorspace and configured to detect an object in the environment based on the inverse colorspace determination.

Abstract: Various embodiments are generally directed to techniques for multi-voice speech recognition commands, such as based on monitoring a telecommunications channel between first and second devices, for instance. Some embodiments are particularly directed to prompting initiation of a transaction between a first entity associated with a first device and a second entity associated with a second device based on detection of an audible request corresponding to the second entity and an audible response corresponding to the first entity.

Abstract: Techniques to improve operation of a processor or device utilizing colorspace conversions and operations are provided. A system includes a programmable logic array that can perform, a colorspace conversion, which can in turn be by a distinct processor device. The colorspace conversion can be performed by the programmable logic in response to the change of a colorspace associated with a target, e.g. a real or virtual environment, and the colorspace conversion is intended to optimize the colorspace of an object, entity, or other environment in the changed real or virtual environment, and where the optimized object, entity or other environment can be used by the processor device as part of a computing application as suitable for that colorspace conversion, which can include but is not limited to augmented reality, printing of images, detection of images, global positioning, and detection of real and virtual objects in real or virtual environments.

Abstract: Techniques to improve storage, transmission and security of data are included. One or more methods, apparatuses, and articles of manufacture employ one or more color-channels, ultraviolet layers, infrared layers, and/or luminance layers to encode data on or along a physical medium, where the encoding includes utilizing one or more of those layers to encode an error-correcting code (ECC), such as a Hamming code with the data.

Abstract: Various embodiments are generally directed to detecting fraudulent activity on a user account based at least in part on a dynamic fraudulent user blacklist. The fraudulent activity may be identified based on a similarity of forensic profiling across multiple user accounts, for example, fraudulent activity occurring by the same fraudster or perpetrator may have a similar or identical fraudulent pattern across the multiple user accounts. By identifying the fraudulent user patterns associated the same fraudster and dynamically updating a blacklist to include these fraudulent user patterns, the same types of attacks may be prevented on the other existing user accounts.

Abstract: Various embodiments are generally directed to techniques utilizing computers to process service billing data, generate one or more groups of customers based on one or more attributes of the data, and train a recurrent neural network (RNN) to predict future bill amounts for customers. Embodiments further include techniques to predict the future bill amounts of the customers and providing an indication of the bill amounts to the customers.

Abstract: Disclosed are examples for adjusting screen brightness based on screen content being presented on a display screen of a mobile device. The described examples may determine a time at which the screen content is to be evaluated. The screen content is categorized based on the evaluation. A category of the screen content may be input into a machine learning algorithm that may be used to determine whether a screen brightness adjustment is appropriate. If a screen brightness adjustment is appropriate, a degree of the screen brightness adjustment may be determined.

Abstract: Techniques to transmit encoded data along a physical medium, e.g. tape, and decode the transmitted data along the physical medium are provided. Some techniques include logic to encode data transmitted along a physical medium, such as a tape suitable for any purpose including the encoding of multimedia data, where the encoding is pursuant to a conversion between a first and second colorspace. The logic may further be configured to decode the data once it is received at a node along the tape, where the colorspace conversion provides the basis, key, or cipher for preforming the decoding operation. The logic may be further configured to alter the encryption and decryption basis, key, or cypher by altering the colorspace scheme defining the encoding (and by extension the decoding) during transmission, including a transmission that takes place after a previous transmission governed by the previously defined (and subsequently altered) colorspace conversion scheme. Other embodiments are described and claimed.

Abstract: Systems, methods, apparatuses, and computer program products for processing data using an autoencoder. In one example, the autoencoder may receive streaming data comprising numeric values during a first time interval. The autoencoder may determine, during the first time interval, a maximum value and a minimum value of a first subset of the numeric values. The autoencoder may then process, during the first time interval, a second subset of the numeric values based on the determined maximum and minimum values.

Abstract: Examples for enabling off-network transactions to be performed and securely managed are provided. An example system may include a data network, a digital ledger server, a blockchain platform, smart payment devices, and point of sale devices. Each respective point of sale device and each respective smart device may be operable to perform an off-network transaction, and store information related to the transaction in a digital ledger coupled to each respective device. When a transaction is executed between a POS device and a smart payment device, the POS device and smart payment device exchange a record of all off-network transactions that each respective device has executed since the last time a connection was made to the data network. When a network connection is established for each device, the respective information stored in the digital ledger is uploaded to the blockchain platform for storage and the digital ledger server for transaction resolution.

Abstract: The present disclosure provides computing systems and techniques for validating a decision model against a cannon of regulation. A server can deconstruct a decision model into a number of branching decisions and also generate a Markov chain comprising a number of sequences from a cannon of regulation. The server can compare the branching decisions to the sequences and can validate the decision model with the cannon of regulation based on the comparison.

Abstract: Various embodiments are generally directed to detecting fraudulent activity on a user account based at least in part on a dynamic fraudulent user blacklist. The fraudulent activity may be identified based on a similarity of forensic profiling across multiple user accounts, for example, fraudulent activity occurring by the same fraudster or perpetrator may have a similar or identical fraudulent pattern across the multiple user accounts. By identifying the fraudulent user patterns associated the same fraudster and dynamically updating a blacklist to include these fraudulent user patterns, the same types of attacks may be prevented on the other existing user accounts.

Abstract: In the disclosed transaction processing system, a system and method are described that increase the ease of access and use of different currency networks by consumers using customizable transaction devices. The customizable transaction devices may be re-programmed prior to or during a currency transaction in accordance with the consensus protocol of the currency network associated with the currency transaction. The currency network further includes one or more host devices, each of which include an interface configured to communicate with a transaction device for the purposes of re-programming a Field Programmable Gate Array (FPGA) of the transaction device according to one or more currency network consensus protocols. Optimizing the performance of transaction devices for proof-of-work or other consensus protocol processing decreases the latency associated with validating currency network transactions, thereby increasing the suitability of cryptocurrency for retail transactions.

Abstract: Various embodiments are directed to a password security warning system. An artificial neural network or other types of models may be used to determine whether a password that is created, input, or proposed by a user via an interface includes one or more predictable or typical transformations or combinations of characters derived from user-specific information. Based on the determination, a warning may be provided to the user.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.