Abstract: An electronic device may include a camera, a lens, and gratings overlapping the lens. The gratings may diffract a first portion of light incident from a first range of incident angles while transmitting a second portion of the light incident from a second range of incident angles. The lens may direct the second portion of the light to the camera. The gratings may diffract the first portion of the light away from the optics. The gratings may be homogenous or spatially varying. If desired, the gratings may diffract the first portion of the light into a waveguide that propagates the first portion of the light away from the optics. The first range of incident angles and/or the location of the gratings may be selected to remove stray light that would otherwise produce artifacts in the image data. The camera may be replaced with an eye box in augmented reality implementations.

Abstract: A computing platform may train, using historical intelligence information, an enclave management model, which may configure the enclave management model to identify network actions to address current intelligence information, produce threat scores, and identify regional enclaves, each defining network boundaries for the respective regional enclaves. The computing platform may input, into the enclave management model, current intelligence information, which may cause the enclave management model to produce a threat score for a first geographic region and the network actions to address the current intelligence information. Based on identifying that the security score meets or exceeds a threat threshold, the computing platform may send one or more commands directing one or more network switching devices, corresponding to a first regional enclave for the first geographic region, to execute the network actions, which may cause the one or more network switching devices to execute the network actions.

Abstract: Arrangements are provided for generating tamper-proof quantum-resistant data structures for storing digital communications transmitted over pubic electronic mediums, such as the Internet. The digital communication may include audio and video data. The tamper-proof quantum-resistant data structures may be stored in a repository used for verifying whether digital copies, such as video clips, are authentic copies or whether they have been altered, such as by artificial intelligence, to include misinformation or disinformation.

Abstract: Disclosed herein is a load rigging harness system for a payload. The system includes a webbing harness surrounding the payload. The load rigging system includes a lateral belt coupled to the webbing harness extending at least partially around the payload, and a plurality of straps having bottom ends attached to the webbing harness and the top ends connected together at a common point. Also disclosed herein is a load rigging harness system for an auxiliary payload. The load rigging harness system comprises an end panel, a plurality of strap loops, each of the strap loops extending from the end panel toward a distal point and configured to wrap at least partially around the auxiliary payload. A connector and mating fasteners are arranged at the distal points for securing the strap loops together around the auxiliary payload.

Abstract: A personal artificial intelligence (AI) system may be used to conduct business with one or more entities. The personal AI system may automatically replicate security rules from another AI system to provide initial security rules and may adjust the initial security rules based on information about the user to generate revised security rules. The rules adjustments may also be based on the entities with which the user does business. An AI firewall may be generated to control access to the personal AI system by a second AI system, with which business may be conducted. To permit interactions with the second AI system, the AI firewall may require that the second AI system provide the personal AI system with data relating to previous transactions between the user and the operator of the second AI system. The data may include the monetary amount of each of multiple recent transactions.

Abstract: A system and method for the determination of an optimal ammunition round based upon a barrel length of a given firearm and resulting ammunition. The ammunition is preferably provided in a single load for a given caliber and bullet optimized for a range of barrel lengths, wherein a user can select a preferred single load for a given firearm regardless of barrel length.

Abstract: Systems, methods, and apparatus are provided for tracking user interactions in a quantum system. An authentication persona may be routed to a quantum processor. The quantum processor may generate a virtual quantum channel. The virtual quantum channel may execute multiple attribute-based authentication chains concurrently. The quantum processor may dynamically change the attributes in the authentication chains for the duration of a user session. The quantum processor may substantially continuously validate the attributes in each chain for the duration of the user session. The quantum processor may map the virtual authentication channel to a potential state of quantum information. In some embodiments, the system may automatically scale the quantum processor during an authentication task by adding additional quantum circuits to each quantum thread when the authentication task has a duration that is longer than a threshold duration and/or a volume that is larger than a threshold volume.

Abstract: Systems and methods for an artificial intelligence-based auditor of artificial intelligence may be provided. The artificial-intelligence-based auditor may operate on one or more hardware processors. The artificial intelligence-based auditor may continually scan one or more operating artificial intelligence systems for productivity and operability. The scan may identify a data source powering the one or more operating artificial intelligence systems. The scan may measure a delta between an output from each of the one or more operating artificial intelligence systems. The scan may identify trends in quality of the one or more operating artificial intelligence systems. The scan may analyze instances where the one or more operating artificial intelligence systems outputted data outside of a parameter range. Based on the scan, the auditor may label each of the one or more operating artificial intelligence systems as positive, neutral or negative.

Abstract: A method for securing communications received at an automated chatbot within an entity network is provided. The method may enable securing the communications by monitoring inputs received at the automated chatbot in order to identify whether there may be a probability that the input is generated by an artificial intelligence (“AI”) program. The method may include receiving a request to initiate a chat session at the automated chatbot. Each input received at the automated chatbot may be simultaneously retrieved by a processor associated with the chatbot for verifying. Each input may be analyzed by an AI auditor application in comparison to trained data stored in an AI model. The trained data may include characteristics that may be associated with input generated by the AI program. When any inputs correspond to the trained data, the AI auditor may pause the chat session at the automated chatbot and/or terminate the chat session.

Abstract: In various examples, direct and indirect feedback is obtained and used to update a machine learning model. For example, feedback indicating interactions with the machine learning model are obtained from various entities. Continuing this example, the feedback is used to determine a set of scores associated with a particular response generated by the machine learning model. In various embodiments, the set of scores includes a response score, a multi-turn score, and a session score. Furthermore, the set of scores, in this examples, are combined to generate a single score associated with the response that is then used to update the machine learning model.

Abstract: Apparatus and methods for providing an indicator of trustworthiness of a software application are provided. A program may receive information regarding the software application from a developer of the application. The program may analyze the application and determine that the application is trustworthy and secure. The program may then create a unique logo that may include various information to indicate to a user that the program has determined the application is trustworthy. The program may transmit the logo to the developer so the developer may incorporate the logo into the application. In an embodiment, the program may transmit the logo to a third-party application store for display on a page where the application is available.

Abstract: Systems, computer program products, and methods are described herein for synthetic intrusion data generation and remediation via machine learning. The present disclosure includes training a first machine learning model using a plurality of malicious code segments from a code repository, generating, using the first machine learning model, a predetermined number of generated code segments, training a second machine learning model using the plurality of malicious code segments, generating, by using the second machine learning model, at least one generated heuristic mitigation resource for the generated code segments, analyzing, via a static heuristics analysis, stored code on an endpoint device, and applying the at least one generated heuristic mitigation resource upon a first condition wherein the static heuristics analysis identifies a malicious activity.

Abstract: Disclosed is a method for extruding protein-based doughs to form protein-based crisps, the method being particularly effective for decreasing variability in the extrusion of pea and other plant protein-based doughs to produce pea and other plant protein-based crisps that have a light, less dense texture. The method utilizes the synergistic effect of the addition of lecithin and at least one acidulant to the dough ingredients to promote gel formation early in the extrusion process.

Abstract: A display may use a waveguide to provide image light to an eye box. An emitter may emit infrared light collimated at different angles relative to a collimated axis and divergent along an orthogonal axis. The waveguide may propagate the infrared light and may include overlapping one-dimensional diffractive gratings with parallel periodic structures. Each grating may diffract, towards the eye box, a respective portion of the infrared light from a respective incident angle onto a respective output angle relative to the collimated axis. A camera may capture glints of the infrared light as reflected off a user's eye at the eye box for performing gaze tracking. The emitter and the gratings may effectively form a one-dimensional line of infrared emitters overlapping the eye box while allowing the optical emitter to remain invisible to a user.

Abstract: Systems, computer program products, and methods are described herein for synthetic intrusion data generation and remediation via machine learning. The present disclosure includes training a first machine learning model using a plurality of malicious code segments from a code repository, generating, using the first machine learning model, a predetermined number of generated code segments, training a second machine learning model using the plurality of malicious code segments, generating, by using the second machine learning model, at least one generated heuristic mitigation resource for the generated code segments, analyzing, via a static heuristics analysis, stored code on an endpoint device, and applying the at least one generated heuristic mitigation resource upon a first condition wherein the static heuristics analysis identifies a malicious activity.

Abstract: Systems, methods, and apparatus are provided for tracking user interactions in a quantum system. An authentication persona may be routed to a quantum processor. The quantum processor may generate a virtual quantum channel. The virtual quantum channel may execute multiple attribute-based authentication chains concurrently. The quantum processor may dynamically change the attributes in the authentication chains for the duration of a user session. The quantum processor may substantially continuously validate the attributes in each chain for the duration of the user session. The quantum processor may map the virtual authentication channel to a potential state of quantum information. In some embodiments, the system may automatically scale the quantum processor during an authentication task by adding additional quantum circuits to each quantum thread when the authentication task has a duration that is longer than a threshold duration and/or a volume that is larger than a threshold volume.

Abstract: Apparatus and methods to verify human interaction through an encrypted channel are provided. A human verification program may create an encrypted channel between two or more devices when a communication between users of the devices is started. Data may be transferred over the encrypted channel when a user performs a verifiably human action. The data may be analyzed to determine whether the user is more likely than not a bot. The channel may be collapsed when a pre-determined condition is satisfied.

Abstract: Systems, computer program products, and methods are described herein for computing device intrusion detection via machine learning for interaction data analysis. The present disclosure includes receiving interaction event data, associating the interaction event data with the first endpoint device as a first schema, receiving an interaction event data stream and a corresponding endpoint device identifier, determining, by inputting the interaction event data stream and the corresponding endpoint device identifier to a trained machine learning model, an identified endpoint device and a presence of at least one anomaly, and transmitting a notification signal comprising schema mismatch details to the identified endpoint device.

Abstract: A method for securing communications received at an automated chatbot within an entity network is provided. The method may enable securing the communications by monitoring inputs received at the automated chatbot in order to identify whether there may be a probability that the input is generated by an artificial intelligence (“AI”) program. The method may include receiving a request to initiate a chat session at the automated chatbot. Each input received at the automated chatbot may be simultaneously retrieved by a processor associated with the chatbot for verifying. Each input may be analyzed by an AI auditor application in comparison to trained data stored in an AI model. The trained data may include characteristics that may be associated with input generated by the AI program. When any inputs correspond to the trained data, the AI auditor may pause the chat session at the automated chatbot and/or terminate the chat session.

Abstract: A method for providing a quantum reflection access credentialing (QRAC) system. The method includes receiving a user login. The user login may include a username and password. The user login may be associated with a known user. The system may include a memory for storing information corresponding to light reflected from the face of the user. The method may further include selecting, or receiving a selection of, a light source from among an array of light sources. The method may also include shining light generated by the selected light source on the user's face. The method may also include scanning the user face to capture a reflection of the light generated by the light source. The method may then include confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source. In response to confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source, the method may credential user access.