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 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.

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 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 to reduce inputs of a machine learning model (MLM) and increase path efficiency as a result. A method for reducing an MLM includes: receiving a machine learning (ML) dataset, partitioning the ML dataset into a first dataset, a second dataset, a third dataset, and a fourth dataset, training, validating, and testing the MLM using one or more of the first dataset, the second dataset, and the third dataset, after testing the MLM, automatically ranking an importance associated with each input of the MLM using the fourth dataset, and reducing a plurality of inputs of the MLM based on the automatic ranking.

Abstract: An apparatus may include a memory to store instructions; and processing circuitry, coupled with the memory, operable to execute the instructions. When executed, the instructions may cause the processing circuitry to identify a matrix code; read a first layer of the matrix code, the first layer comprising a first account identifier associated with an account, wherein the first layer corresponds to a first color channel; and read a second layer of the matrix code, the second layer comprising a set of account data, associated with the account, wherein the second layer corresponds to a second color channel, different than the first color channel.

Abstract: Disclosed are examples for providing functions to receive a media file to be stored in a media repository. In the examples, a location in the media repository may be assigned to the media file. A media file address in a blockchain platform may be assigned to the media file. Metadata including the assigned location in the media repository and the assigned media file address in the blockchain platform may be added to the media file. A media file hash value may be generated by applying a hash function to the media file including the metadata. The media file hash value may be included in a message and uploaded to the assigned media file address in the blockchain platform as a transaction in the blockchain. An indication that the media file is uploaded to the media repository may be delivered to a subscriber device from which the media file was received.

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 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: Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

Abstract: A system and method are disclosed in which a user engaging in an online or in-person transaction with a merchant may create automatic expiring transactions for a credit card. The user provides the credit card information to an online interface or a point-of-sale device but specifies an expiration date that is on or before the actual expiration date of the credit card, known as an artificial expiration date. A token for the merchant is generated with the artificial expiration date. The issuing bank will honor the transaction with the artificial expiration date using the merchant-specific token, and the token may continue to be used with the online merchant until the artificial expiration date.

Abstract: Various embodiments are generally directed to techniques share transaction card information with another device. More specifically, embodiments discussed here include sharing transaction card information from one device to another device, such as a mobile phone or transaction card, such that a user of the other device may perform one or more authorized transactions.

Abstract: Various embodiments are directed to a system for identifying personally identifiable information (PII) in digital media content, such as audio files, videos, images, etc. and providing such content with one or more portions thereof appropriately tokenized based on an access level of the user requesting the content. The PII may be detected in the digital media content using a machine learning model or a classification model.

Abstract: Various embodiments are generally directed to techniques of adjusting the combination of the samples in a training batch or training set. Embodiments include techniques to determine an accuracy for each class of a classification model, for example. Based on the determined accuracies, the combination of the samples in the training batch may be adjusted or modified to improve the training of the classification model.

Abstract: Systems, methods, and computer program products to transmit, by a web browser to a web server, a hypertext transfer protocol request for a web page at a first uniform resource identifier (URI). The web browser may receive, from the web server via, the web page and metadata of a plurality of candidate advertisements, the plurality of candidate advertisements determined based on a master machine learning (ML) model. A client ML model executing in the web browser may process the received metadata, the client ML model trained based on prior interactions between one or more users of the web browser and a plurality of previously displayed advertisements. The client ML model may determine based on the processing, a first candidate advertisement of the plurality of candidate advertisements to display in the web browser with the received web page.

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 improve detection and security of a displayed image on a screen of a computer device, such as a device, and in response to environmental changes, including formation and detection of matrix-based images that may be dynamically altered and optimized as a result of environmental changes. Some techniques include logic to process image data, generate one or more colorspaces associated with that data, and perform colorspace conversions based on the generated colorspace. The logic may be further configured to generate an image based on the colorspace conversions, including but not limited to a matrix bar code. The logic may further be configured to alter the displayed image based on environmental changes and optimize the newly generated image utilizing one or more colorspace conversions in relation to a new environment generated as a result of the environmental changes. Other embodiments are described and claimed.