Abstract: Disclosed herein are systems and methods for optimizing air traffic control managing using a Quantum Annealing-based iterative path planning technique and algorithm that involves both classical and quantum computation components. The classical component can calculate the distances between aircraft and the target destination from a set of new, possible properties, such as aircraft location. The quantum component can select from the new, possible properties to minimize the distance of the aircraft to the target destination while ensuring adequate separation between aircraft. The algorithm can utilize qubits to represent maneuverability options for aircraft. The maneuverability options may be partitioned into a set of multiple qubits per aircraft. Each set may include a plurality of qubits that are representative of the sub options. The algorithm can utilize Quadratic Unconstrained Boolean Optimization (QUBO) to find the lowest cost-energy maneuverability option.

Abstract: Disclosed herein are systems and methods for path planning for UAVs. A set of UAVs is logically arranged into a plurality of swarms, each having a swarm-leader UAV. A first path planning algorithm is applied to determine navigation instructions to steer the swarm-leader UAVs towards respective destinations for the swarms and to deconflict the swarm-leader UAVs from one another. A set of second path planning algorithms is applied to determine navigation instructions to steer non-swarm-leader UAVs in each swarm toward their respective swarm leaders and to deconflict the UAVs from other UAVs in the swarm. Separate QUBO path planning algorithms may be used for the first path planning algorithm and the set of second path planning algorithms. If merging criteria for combining two swarms are met, a single QUBO may be used to control all non-swarm-leader UAVs in merged swarms.

Abstract: Provided are systems and methods for removing per- and polyfluoroalkyl substances (PFAS) from a contaminated stream comprising: collecting a contaminated stream comprising one or more PFAS; concentrating the one or more PFAS of the contaminated stream to achieve a concentrated stream having greater than or equal to 0.01 wt. % PFAS; and removing the one or more PFAS of the concentrated stream by heating the concentrated stream in the presence of calcium oxide to produce calcium fluoride.

Abstract: An adversarial reinforcement learning system is used to simulate a spatial environment. The system includes a simulation engine configured to simulate a spatial environment and various objects therein. The system further includes a first model configured to control objects in the simulation and a second model configured to control objects in the simulation. The first model generates a threat-mitigation input to control one or more objects in the simulation, and the second model generates a threat input to control one or more objects in the simulation. The system then executes a first portion of the simulation based at least in part of the threat mitigation input and the threat input.

Abstract: Systems and methods for password discovery are provided. A system receives a first password data set comprising known passwords and applies a rule-set to the first data set to generate a second password data set comprising passwords that are believed to be likely to be human-generated. The system trains a generative adversarial network, for generating predicted passwords, using the second data set, for example by incentivizing the GAN to favor passwords in the second data set. The system applies the generative adversarial network to generate a third password data set comprising predicted passwords. The system compares the third password data set to a data corpus to identify a string in the data corpus determined to match one of the predicted passwords in the first plurality of predicted passwords. The identified string may thus be identified as a previously undiscovered password, which may be applied to unlock password-protected systems and/or to further improve password discovery systems.

Abstract: Systems, devices, and methods for training a machine learning model and classifying encoded data include an exemplary method that includes: receiving first training data, by a variational autoencoder (VAE) comprising a probabilistic encoder and a probabilistic decoder; and encoding the first training data, by the probabilistic encoder, to generate encoded data in an embedding space; decoding the encoded data, by the probabilistic decoder, to generate decoded data; computing a loss function, comprising a hinge-loss term, based on the decoded data and the encoded data; and adjusting one or more parameters of the VAE based on the computed loss function including the hinge-loss term. The exemplary method may include classifying, by a linear support vector machine (SVM), the encoded data in the embedding space wherein classifying comprises determining the hyperplane in the embedding space separating the first class of the encoded data from the second class of the encoded data.

Abstract: Described herein are systems and methods for removing halogenated compounds from a contaminated source. These removal systems and methods include concentrating and removing halogenated compounds using select alkaline earth metal oxides, as well as acidifying and removing halogenated compounds using select acids.

Abstract: A portable kit for nucleic acid sequencing is disclosed, the kit including a DNA extraction system configured to perform a DNA extraction protocol, a DNA sequencing preparation system configured to perform a DNA sequencing preparation protocol, a sequencer system, and a portable enclosure configured to house the DNA extraction system, the sequencer preparation system, and the sequencer system.

Abstract: A system can include a router device in communication with a first wireless network interface; one or more sensors; and one or more processors. A location of the router device can be determined based on an output of the one or more sensors. It can be determined whether to establish a Wi-Fi network connection via the first wireless network interface. In accordance with a determination to establish a Wi-Fi network via the first wireless interface, a Wi-Fi network can be selected based on the location of the router device; a first VPN can be instantiated via the Wi-Fi network; and encrypted data can be communicated from a client device to the first VPN via the Wi-Fi network.

Abstract: A system for controlling access to an electronic resource can comprise a set of sensors and one or more processors. A first sensor in the set of sensors may detect first data indicating a characteristic of a user of the electronic resource. A second sensor in the set of sensors may detect second data indicating a characteristic of an environment of the electronic resource. The processors may use an ensemble of machine learning models to generate a score characterizing the user and characterizing the environment. The generated score may be evaluated based on one or more access criteria. Access to the electronic resource may be controlled based on the evaluation of the score.

Abstract: Provided herein are systems and methods that can detect errors and hallucinations in output data produced by generative models. The detection systems described herein may compare information from the generative model output data with ground truth information to determine whether the generative model output data comprises errors and/or hallucinations. The systems and methods described herein may generate an output indicative of whether the generative model output data comprises errors and/or hallucinations. The systems and methods described herein can readily detect false information generated by NLG systems, thus potential harms of reliance on false information can be minimized.

Abstract: In some embodiments, techniques for identifying one or more species in an undifferentiated environmental sample comprising a plurality of nucleic acid sequences are provided. One or more indices that represent a plurality of reference nucleic acid sequences may be provided, and data may be received comprising digital representations of respective nucleic acid sequences. The respective nucleic acid sequences may be aligned, if possible, using the indices. A respective alignment ration may be calculated for each one of the reference nucleic acid sequences, based on the number of nucleic acid sequences aligned to the respective reference nucleic acid sequence and the total number of nucleic acid sequences in the received data.

Abstract: Systems and methods for password discovery are provided. A system receives a first password data set comprising known passwords and applies a rule-set to the first data set to generate a second password data set comprising passwords that are believed to be likely to be human-generated. The system trains a generative adversarial network, for generating predicted passwords, using the second data set, for example by incentivizing the GAN to favor passwords in the second data set. The system applies the generative adversarial network to generate a third password data set comprising predicted passwords. The system compares the third password data set to a data corpus to identify a string in the data corpus determined to match one of the predicted passwords in the first plurality of predicted passwords. The identified string may thus be identified as a previously undiscovered password, which may be applied to unlock password-protected systems and/or to further improve password discovery systems.

Abstract: Disclosed herein are systems and methods for optimizing air traffic control managing using a Quantum Annealing-based iterative path planning technique and algorithm that involves both classical and quantum computation components. The classical component can calculate the distances between aircraft and the target destination from a set of new, possible properties, such as aircraft location. The quantum component can select from the new, possible properties to minimize the distance of the aircraft to the target destination while ensuring adequate separation between aircraft. The algorithm can utilize qubits to represent maneuverability options for aircraft. The maneuverability options may be partitioned into a set of multiple qubits per aircraft. Each set may include a plurality of qubits that are representative of the sub options. The algorithm can utilize Quadratic Unconstrained Boolean Optimization (QUBO) to find the lowest cost-energy maneuverability option.

Abstract: Provided are asynchronous data ingestion and enrichment systems and methods. The systems comprise a plurality of components (e.g., ingestion components, enrichment components, and/or publishing components). Instead of passing data from one component to another, the data is sent to a messaging queue that formats and hold the data until the subsequent component is ready to receive it. Additionally, each component comprises a central microservice and a plurality of instances, the central microservice configured to communicate with each instance of the plurality of instances.

Abstract: The present disclosure is directed to data classification. An exemplary computer-enabled method for classifying image data comprises: receiving an input image, wherein the input image is of a second data domain; providing the input image to a preprocessing algorithm to obtain a transformed image, wherein the preprocessing algorithm is trained to transform data of the second data domain to data of a first data domain; providing the transformed image to a trained algorithm to analyze the transformed image, wherein the trained algorithm is trained based on training data of the first data domain.

Abstract: Techniques for determining whether a public encryption key is vulnerable as the result of deficiencies in pseudorandom number generation algorithms are provided. In some embodiments, a system may compile a database of cryptographic information received from a plurality of sources, including databases, and network traffic monitoring tools. RSA public keys extracted from the cryptographic information may be stored in an organized database in association with corresponding metadata. The system may construct a product tree from all unique collected RSA keys, and may then construct a remainder tree from the product tree, wherein each output remainder may be determined to be a greatest common divisor of one of the RSA keys against all other unique RSA keys in the database. The system may then use the greatest common divisors to factor one or more of the RSA keys and to determine that the factored keys are vulnerable to being compromised.

Abstract: Methods for configuring a quantum annealer to solve a QUBO problem comprises receiving data representing an initial graph representing an embedding of a QUBO problem into a qubit architecture of the quantum annealer and causing one or more GPU thread blocks to create and store a best local current graph and update the best local current graph. Updating the best current local graph comprises copying the best local current graph, modifying the best local current graph copy to form a candidate local graph, computing an evaluation rating for the candidate local graph, and, in accordance with a determination that one or more replacement criteria are met, replacing the best local current graph with the candidate local graph. An updated best local current graph may be identified in a local results array as the best global graph. The quantum annealer may be configured based on the best local graph.

Abstract: Systems and methods for mitigating cybersecurity threats are provided. A system for mitigating cybersecurity threats may be configured to identify, based on a model of a system, future states, wherein the model depicts a plurality of states for the system and a plurality of capabilities enabling transitions between the plurality of states. Identifying future states may be based on a current state of the system, and the future states may comprise an undesirable state. The system may determine, based on the model of the system, whether the undesirable state is a reachable state, wherein the determination is based on capabilities possessed by an insider entity. In accordance with a determination that the undesirable state is a reachable state, the system may modify a capability possessed by the insider entity, wherein modifying the capability prevents the insider entity from causing the system to transition to the undesirable state.

Abstract: A genetic algorithm system generates a set of computer programs and executes a process for assessment and conditional modification of the set, repeating the process over a plurality of generations to mutate the population of solutions over time. At each generation, the system scores each program in the set to generate a respective primary score adjustment, a respective secondary score adjustment, and a respective current score. If a current score for a program is less than or equal to a first threshold, the system removes the computer program from the set. If the current score is greater than or equal to a second threshold, the system modifies the computer program to generate one or more offspring programs for use in subsequent generations. If a primary score adjustment for a program is greater than or equal to a third threshold, the system selects the computer program for performance of a task.