Abstract: Described are methods and techniques of a payment card, including: a first layer; a second layer comprising a window of a translucent material; an actuator; and an information layer between the first layer and the second layer, including: a channel comprising an information, wherein the information is biased toward the first layer; and a passage that communicates the channel with the actuator, wherein a fluid is provided in the channel and in the passage such that when the actuator is depressed, fluid flows into the channel via the passage and presses the information against the window making the information visible through the window, and when the actuator is released, the fluid flows out of the channel making the information invisible through the window.

Abstract: A method may include: receiving, by a computer program executed by an electronic device, an original sample to process; extracting, by the computer program, a feature from the original sample using a trained neural network, wherein the neural network may be trained to extract features from samples; calculating, by the computer program, a probability of substituting the original sample with each sample of a plurality of samples in a dataset; substituting, by the computer program, the original sample with a sample in the dataset based on the calculated probability; and returning, by the computer program, the substituted sample, wherein sensitive attributes of the original sample cannot be inferred from the substituted sample, while useful attributes of the original sample may be inferred from the substituted sample.

Abstract: Systems and methods for automatic redaction of sensitive information from video streams are disclosed. According to one embodiment, a method for automatic redaction of sensitive information from video streams may include: (1) receiving, by an image processing computer program executed by an electronic device, a video stream of an area; (2) identifying, by the image processing computer program, an object capable of having sensitive information thereon in the video stream of the area; and (3) redacting or obscuring, by the image processing computer program, the object in the video stream.

Abstract: A method may include: a policy control computer program receiving, from a headset, an anchor identifier for an anchor in response to the headset being proximate to the anchor; (2) the policy control computer program identifying an area in which the headset is located by retrieving the area mapped to the anchor identifier in a mapping of a plurality of anchor identifiers to a plurality of areas; the policy control computer program identifying a streaming policy for the area, wherein the streaming policy restricts audio and/or video streaming from the area, allows audio and/or video streaming from the area, or restricts audio and/or video streaming from the area; the policy control computer program sending, a control signal to the headset based on the streaming policy; and the headset implementing the control signal to control streaming of audio and/or video to the policy control computer program.

Abstract: Payment cards with activated information displays are disclosed. In one embodiment, a payment card may include: a first layer; a second layer comprising an elastic material; an actuator; and an information layer between the first layer and the second layer, comprising: a plurality of information voids; and a microfluidic channel that communicates the plurality of information voids with the actuator. A fluid may be provided in the microfluidic channel such that when the actuator is depressed, fluid flows into the information voids making the information voids visible through the second layer, and when the actuator is released, the fluid flows out of the information voids making the information voids substantially invisible through the second layer.

Abstract: Method and systems for obtaining direct feedback from a payment card by using energy received from a radio frequency identification (RFID) card reader is provided. The method is implemented by a processor that is embedded in the payment card. The method includes: receiving, from the RFID card reader, a radio frequency (RF) signal that relates to a proposed transaction; transmitting, to the RFID card reader, account information that relates to the proposed transaction; and causing an actuator that is embedded in the payment card to actuate a feedback action based on the RF signal. The actuator may include a haptic device that generates a vibration that is detectable by a touch of a user of the payment card.

Abstract: Payment cards with activated information displays are described. In one embodiment, a payment card may include: a first layer; a second layer comprising an elastic material; an actuator; and an information layer between the first layer and the second layer, comprising: a plurality of information voids; and a microfluidic channel that communicates the plurality of information voids with the actuator. A fluid may be provided in the microfluidic channel such that when the actuator is depressed, fluid flows into the information voids making the information voids visible through the second layer, and when the actuator is released, the fluid flows out of the information voids making the information voids substantially invisible through the second layer.

Abstract: Systems and methods for wayfinding in hazardous environments are disclosed. In one embodiment, a method for wayfinding in a hazardous environment may include: (1) receiving, at an emergency response computer program executed by an electronic device, a plurality of real time streams of data, each real time stream of data from a sensing device in an area; (2) detecting, by the emergency response computer program, an alarm condition in the area based on the real-time streams of data; (3) determining, by the emergency response computer program, that the alarm condition satisfies an alarm condition rule; (4) calculating, by the emergency response computer program, a plurality of routes to an egress point from the area; and (5) controlling, by the emergency response computer program, a digital signage in the area to display one of the plurality of routes the egress point.

Abstract: Payment cards with activated information displays are disclosed. In one embodiment, a payment card may include: a first layer; a second layer comprising an elastic material; an actuator; and an information layer between the first layer and the second layer, comprising: a plurality of information voids; and a microfluidic channel that communicates the plurality of information voids with the actuator. A fluid may be provided in the microfluidic channel such that when the actuator is depressed, fluid flows into the information voids making the information voids visible through the second layer, and when the actuator is released, the fluid flows out of the information voids making the information voids substantially invisible through the second layer.

Abstract: A method may include: accepting, by a data transformation module, an original dataset as input to a first and a second neural network and outputting a transformed dataset; accepting, by a sensitive attribute suppression module, the transformed dataset as input to a third neural network and calculating a sensitive attribute suppression loss; accepting, by an annotated useful attribute preservation module, the transformed dataset as input to a fourth neural network and calculating a useful attribute preservation loss; accepting by a generic feature suppression module, parameters of a distribution of a latent variable from the first neural network and calculating, for an unannotated generic attribute, a generic feature suppression loss; combining the sensitive attribute suppression loss, the useful attribute preservation loss, and the generic feature suppression loss into a total loss; and training the first neural network and the second neural network with the total loss.

Abstract: A method may include: a computer program populating a Hermitian matrix A with input data; calculating an upper bound a for a maximum eigenvalue for the Hermitian matrix A; initializing a time evolution value t=1/a; generating a first quantum computer program using the time evolution value t; communicating the first quantum computer program to a quantum computer; receiving a result including a binary value for each n-bit string and a probability for each binary value; converting each binary value into an integer; identifying a maximum absolute value of the integers; determining a value x for the maximum absolute value of all of the integers; updating the time evolution value t based on the value of x; generating a second quantum computer program using the updated time evolution value t; and communicating, by the classical computer program, the second quantum computer program to the quantum computer.

Abstract: Embodiments use quantum conditional logic in the Quantum Phase Estimation Algorithm (QPEA) to compute eigenvalues prior to inversion. Embodiments estimate the eigenvalues of a unitary, U=eiÂt, generated by a N×N Hermitian matrix Â. The binary representations of the n-bit estimations of eigenvalues of  may be encoded in these states: |?i=|b1b2 . . . bn; ?i is an estimation of the i-th eigenvalue, excluding degeneracy, and .b1b2 . . . bn is its binary representation. To perform the eigenvalue inversion, an n-qubit controlled Ry rotation with angle ?i/2(n?1) conditioned on seeing |b1b2 . . . bn is applied for each possible n-bit binary string b1b2 . . . bn (2n values). The overall unitary is called a “uniformly controlled Ry rotation” in literature.

Abstract: In some aspects, the techniques described herein relate to a method including: executing a machine learning model; providing a data transformation module of the machine learning model that outputs a transformed dataset; providing a sensitive attribute suppression module of the machine learning model that outputs a sensitive attribute suppression loss; providing an annotated useful attribute preservation module of the machine learning model that outputs an annotated useful attribute preservation loss; providing an unannotated useful attribute preservation module of the machine learning model that outputs an unannotated useful attribute preservation loss; combining the sensitive attribute suppression loss, the annotated useful attribute preservation loss, and the unannotated useful attribute preservation loss into a total loss; and training a neural network of the data transformation module and a neural network of the unannotated useful attribute preservation module using the total loss.

Abstract: A contactless card may include: a first card portion and a second card portion; a manipulation area between the first card portion and the second card portion, wherein the contactless card may be manipulatable about the manipulation area; a chip storing information; and an antenna in communication with the chip comprising a first antenna portion in the first card portion and a second antenna portion in the second card portion, wherein the first antenna portion and the second antenna portion are electrically connected when the contactless card is in a first orientation such that the information can be read by radio frequency communication from the chip via the antenna, and the first antenna portion and the second antenna portion are electrically disconnected when the contactless card is in a second orientation such that the information cannot be read by radio frequency communication from the chip via the antenna.

Abstract: A method for dynamic detection and presentation of obscured real-world objects in augmented or mixed reality virtual content may include an object of interest computer program executed by an electronic device: (1) receiving data for a virtual or augmented reality object to display on an image of a physical environment on a display of the electronic device; (2) receiving data for a physical object in the physical environment; (3) determining that the physical object is obscured by the virtual or augmented reality object; (4) generating a representation of the physical object; and (5) providing the representation of the physical object to a virtual reality or augmented reality computer program executed by the electronic device, wherein the virtual reality or augmented reality computer program is configured to display the physical object over the virtual or augmented reality object.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate applying a reinforcement learning policy to available actions are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a state encoder that maps, based on one or more encoding parameters, a state of an environment on to one or more qubits of a quantum device. The system can further comprise a variational component that combines a reinforcement learning policy with a sampling of the one or more qubits, resulting, based on one or more variational parameters, in a probability distribution of a plurality of available actions at the state of the environment.

Abstract: A method for removing uninterested attributes from multi-modality data may include: receiving, by a multi-modality attribute removal computer program executed by an electronic device, multi-modality data comprising a plurality of modalities from a data source, wherein data in each modality are related; receiving, by the multi-modality attribute removal computer program, an uninterested attribute in the multi-modality data to remove; training, by the multi-modality attribute removal computer program, a modality-focused encoder for each modality of the multi-modality data to remove the uninterested attribute using a removal loss and a retention loss for the respective modality; receiving, by the multi-modality attribute removal computer program, a multi-modality data set for processing; and processing, by the multi-modality attribute removal computer program, the multi-modality data set using the modality-focused encoders, wherein the processing results in a processed multi-modality data set with the uninterest

Abstract: Systems and methods for wayfinding in hazardous environments are disclosed. In one embodiment, a method for wayfinding in a hazardous environment may include: (1) receiving, at an emergency response computer program executed by an electronic device, a plurality of real time streams of data, each real time stream of data from a sensing device in an area; (2) detecting, by the emergency response computer program, an alarm condition in the area based on the real-time streams of data; (3) determining, by the emergency response computer program, that the alarm condition satisfies an alarm condition rule; (4) calculating, by the emergency response computer program, a plurality of routes to an egress point from the area; and (5) controlling, by the emergency response computer program, a digital signage in the area to display one of the plurality of routes the egress point.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate applying a reinforcement learning policy to available actions are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a state encoder that maps, based on one or more encoding parameters, a state of an environment on to one or more qubits of a quantum device. The system can further comprise a variational component that combines a reinforcement learning policy with a sampling of the one or more qubits, resulting, based on one or more variational parameters, in a probability distribution of a plurality of available actions at the state of the environment.

Abstract: Systems and techniques that facilitate partitioned template matching and/or symbolic peephole optimization are provided. In various embodiments, a system can comprise a template component, which can perform template matching on a Clifford circuit associated with a set of qubits. In various aspects, the system can comprise a partition component, which can partition, prior to the template matching, the Clifford circuit into a computation stage, a Pauli stage, and a SWAP stage. In various instances, the template matching can be performed on the computation stage. In various embodiments, the system can comprise a symbolic component, which can select a subset of qubits from the set of qubits, rewrite at least one entangling gate in the computation stage such that a target of the at least one entangling gate is in the subset of qubits, and replace the at least one rewired entangling gate with a symbolic Pauli gate.