Abstract: Systems and methods for selectively sharing of portion of unstructured data containers/documents based on security attributes or policies used to encrypt/decrypt data within the unstructured data containers using attribute-based encryption (ABE) are provided herein. In some embodiments, a system includes a key generation authority to generate encryption keys based on a selected cryptographic security scheme and one or more security attributes or security policies; an encryption service to selectively encrypt one or more data subgroups using the one or more public keys and based on one or more security attributes or security policies assigned to the one or more data subgroups with the unstructured data containers; and a decryption service to decrypt the one or more data subgroups within unstructured data containers using the one or more secret keys and the one or more public keys.

Abstract: An example apparatus includes a light source, first and second polarizers, an image sensor, a filter, and control circuitry. The light source outputs a light beam, and the first polarizer passes first polarized light from the output light beam and toward a sample. The image sensor collects light reflected from the sample responsive to the passed first polarized light. The second polarizer passes second polarized light from the reflected light and toward the image sensor. The filter selectively passes the reflected light in a visible light range and near infrared range (NIR) light range toward the image sensor. The control circuitry causes the first and second polarizers to adjust to different polarization angles, and collects the image data of the sample from the reflected light.

Abstract: During GPS-denied/restricted navigation, images proximate a platform device are captured using a camera, and corresponding motion measurements of the platform device are captured using an IMU device. Features of a current frame of the images captured are extracted. Extracted features are matched and feature information between consecutive frames is tracked. The extracted features are compared to previously stored, geo-referenced visual features from a plurality of platform devices. If one of the extracted features does not match a geo-referenced visual feature, a pose is determined for the platform device using IMU measurements propagated from a previous pose and relative motion information between consecutive frames, which is determined using the tracked feature information.

Abstract: A method, apparatus and system for providing security for a container network having a plurality of containers includes establishing a network stack for each of the plurality of containers of the container network, determining network and policy information from active containers, based on a set of pre-determined inter-container dependencies for the plurality of containers learned from the determined network and policy information, configuring container access in the container network to be limited to only containers of the plurality of containers that are relevant to a respective communication, and configuring inter-container traffic in the container network to be directed only from a source container into a destination container in a point-to-point manner such that exposure of the inter-container traffic to peer containers is prevented.

Abstract: A biometric access control system for controlling access to an environment based on an authorization status of a living subject is disclosed. In one example, a data source generates image data of a tissue region of the subject. A liveness measurement unit processes the image data to detect changes over at least one of time or spatial volume in one or more structural features of the tissue region and generates, based on the detected changes, a spoofing attack detection status indicating that the image data is from living biological tissue or that a spoofing attack is detected. A biometric identification unit processes at least a portion of the same image data generated by the data source to generate biometric information indicative of an identity of the subject. Responsive to the spoofing attack detection status and the biometric information, an authorization unit outputs an authorization status for the subject.

Abstract: An evaluation engine has two or more modules to assist a driver of a vehicle. A driver drowsiness module analyzes monitored features of the driver to recognize two or more levels of drowsiness of the driver of the vehicle. The driver drowsiness module evaluates drowsiness of the driver based on observed body language and facial analysis of the driver. The driver drowsiness module is configured to analyze live multi-modal sensor inputs from sensors against at least one of i) a trained artificial intelligence model and ii) a rules based model while the driver is driving the vehicle to produce an output comprising a driver drowsiness-level estimation. A driver assistance module provides one or more positive assistance mechanisms to the driver to return the driver to be at or above the designated level of drowsiness.

Abstract: A fruit harvesting system includes a vacuum generating subsystem and an end effector connected to the vacuum generating subsystem. The end effector has a first tube having a first diameter, and a second tube having a second diameter smaller than the first diameter so the second tube fits inside the first tube. A fruit harvesting system includes a vacuum generating subsystem, a tube connected to the vacuum generating subsystem and at least one structure coupled to an inside of the tube. A fruit harvesting system includes a vacuum generating subsystem, a first tube connected to the vacuum generating subsystem, and a second tube coupled to the first tube, the second tube having a tubular portion coupled to the first tube in an orientation other than parallel, the second tube having openings on opposite sides of the first tube.

Abstract: Manufacturing integrated circuits is discussed with steps as follows. Creating a wafer with a plurality of dies, where each die contains its own integrated circuit. Fabricating multiple instances of TAP circuitry located in a margin between dies of the wafer. Fabricating on the wafer one row of test pads and power pads per group of dies on the wafer, where the row of test pads and power pads is electrically connected and shared among all of the dies in the group. The test and power pads connect to a chain of TAP circuitry in order to supply operating power as well as testing data to verify the integrity of each die in that group of dies. Singulating the dies to create each instance of the integrated circuit, and during the singulation process, the TAP circuitry located in the margin between the dies is destroyed.

Abstract: Systems are provided for the efficient generation of oscillating magnetic fields below the Low Frequency band. These systems generate such fields by mechanically rotating one or more diametrically-magnetized permanent magnets. In order to reduce friction, the magnets are rotated by applying a motive magnetic field to the magnet(s) to rotate the magnet(s) and thereby generate the oscillating magnetic field. Additionally, diamagnetic repulsion, active magnetic field control, and/or biasing permanent magnets are employed to levitate the rotating magnet(s), further reducing friction and increasing system efficiency. These systems may be employed to generate modulated low-frequency oscillating magnetic fields for communication through seawater, rocks, or other obstacles. Additionally or alternatively, these systems may be employed to generate low-frequency oscillating magnetic fields for navigation and location sensing, resource identification and extraction, or other applications.

Abstract: Computer aided inspection systems (CAIS) and method for inspection, error analysis and comparison of structures are presented herein. In some embodiments, a CAIS may include a SLAM system configured to determine real-world global localization information of a user in relation to a structure being inspected using information obtained from a first sensor package, a model alignment system configured to: use the determined global localization information to index into a corresponding location in a 3D computer model of the structure being inspected; and align observations and/or information obtained from the first sensor package to the local area of the model 3D computer model of the structure extracted; a second sensor package configured to obtain fine level measurements of the structure; and a model recognition system configured to compare the fine level measurements and information obtained about the structure from the second sensor package to the 3D computer model.

Abstract: A linear mode avalanche photodiode senses light and outputs electrical current by being configured to, generate a gain equal to or greater than 1000 times amplification while generating an excess noise factor of less than 3 times a thermal noise present at or above a non-cryogenic temperature due to the gain from the amplification. The linear mode avalanche photodiode detects one or more photons in the light by using a superlattice structure that is matched to suppress impact ionization for a first carrier in the linear mode avalanche photodiode while at least one of 1) increasing impact ionization, 2) substantially maintaining impact ionization, and 3) suppressing impact ionization to a lesser degree for a second carrier. The first carrier having its impact ionization suppressed is either i) an electron or ii) a hole; and then, the second carrier is the electron or the hole.

Abstract: A method, apparatus and system for human skeleton pose estimation includes synchronously capturing images of a human moving through an area from a plurality of different points of view, for each of the plurality of captured images, determining a bounding box that bounds the human in the captured image and identifying pixel locations of the bounding box in the image, for each of the plurality of captured images, determining 2D and single-view 3D skeletons from the pixel locations of the bounding box, determining a first, multi-view 3D skeleton using a combination of the 2D and single-view 3D skeletons, and optimizing the first, multi-view 3D skeleton to determine a final 3D skeleton pose for the human. The method, apparatus and system can further include illuminating the area with structured light during the capturing of the images of the human moving through the area.

Abstract: In general, techniques for data access control are described, in which a policy engine implements and applies a declarative policy framework that can represent and reason about complex privacy policies. By using a common data model together with a formal shareability theory, this declarative policy framework enables the specification of expressive policies in a concise way without burdening the user with technical details of the underlying formalism of a data querying application or other knowledge representation scheme. The policy engine may be deployed as the policy decision point in a data access control system that also includes a policy enforcement point. The policy engine includes user interfaces for the creation, validation, and management of privacy policies. The policy engine may interface with systems that manage data requests and replies by coordinating policy engine decisions and access to databases.

Abstract: A method, apparatus and system for visual grounding of a caption in an image include projecting at least two parsed phrases of the caption into a trained semantic embedding space, projecting extracted region proposals of the image into the trained semantic embedding space, aligning the extracted region proposals and the at least two parsed phrases, aggregating the aligned region proposals and the at least two parsed phrases to determine a caption-conditioned image representation and projecting the caption-conditioned image representation and the caption into a semantic embedding space to align the caption-conditioned image representation and the caption. The method, apparatus and system can further include a parser for parsing the caption into the at least two parsed phrases and a region proposal module for extracting the region proposals from the image.

Abstract: An example system can include a reference biometric template (RBT) reader, an authenticator, and an auxiliary system. In some examples, during an initial enrollment process, the RBT reader obtains a biometric from a user, transforms the biometric into an RBT, and provides different shares of the RBT to the authenticator and the auxiliary system. The authenticator and the auxiliary system create respective shares of helper data. In some examples, the authenticator and the auxiliary system use a non-commutative transformation function to embed a secret key in their respective shares of the helper data. The auxiliary system provides its share of the helper data to the authenticator. The authenticator combines its share of the helper data with the share provided by the auxiliary system to create a full version of the helper data. The helper data can be used in a subsequent authentication process between the RBT reader and the authenticator.

Abstract: Systems and methods for speech recognition are provided. In some aspects, the method comprises receiving, using an input, an audio signal. The method further comprises splitting the audio signal into auditory test segments. The method further comprises extracting, from each of the auditory test segments, a set of acoustic features. The method further comprises applying the set of acoustic features to a deep neural network to produce a hypothesis for the corresponding auditory test segment. The method further comprises selectively performing one or more of: indirect adaptation of the deep neural network and direct adaptation of the deep neural network.

Abstract: A variety of applications involve transmission of video data in real time. However, bandwidth limitations may result in degradation of the quality of the transmitted video. To address such limitations, a video stream may be limited to ‘regions of interest’ within each frame of the video stream. This can be accomplished by setting areas outside of the regions of interest to an a priori known color or ‘blanking’ color, and the resulting ‘blanked’ video stream can be compressed and transmitted without extensive modifications to existing transmission apparatus. The original video can be reconstituted by superimposing the received region-of-interest video data onto a background image of the environment that contains the regions-of-interest. The background image can be satellite imagery or other stored imagery that matches the perspective of the video stream. Geographical tag data can be used to superimpose the region-of-interest video data onto the background image.

Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.

Abstract: A method, apparatus and system for understanding visual content includes determining at least one region proposal for an image, attending at least one symbol of the proposed image region, attending a portion of the proposed image region using information regarding the attended symbol, extracting appearance features of the attended portion of the proposed image region, fusing the appearance features of the attended image region and features of the attended symbol, projecting the fused features into a semantic embedding space having been trained using fused attended appearance features and attended symbol features of images having known descriptive messages, computing a similarity measure between the projected, fused features and fused attended appearance features and attended symbol features embedded in the semantic embedding space having at least one associated descriptive message and predicting a descriptive message for an image associated with the projected, fused features.

Abstract: A correlator that includes a number of modules cooperating with each other. A transaction correlation module correlates network flow information for one or more network packet flows corresponding to one or more host-agent network-transaction records on whom participated in a network packet flow. The host-agent network-transaction records at least contain source information. A host input module to take in the host-agent network-transaction records from each host agent on its host computing device connecting to the correlator. A merged record creator creates a merged record for corresponding matches of one or more of the host-agent network-transaction records to one or more of the network packet flows. The merged record gives the network policy enforcement module a complete picture of both the network traffic flow information along with the source information that participated in the network packet flows in order to apply network polices against the network packet flows.