Abstract: A machine and its modules assist in steganography for an animal. A steganography module applies behavioral sequencing to create a cover message and a hidden message to covertly pass information from one animal to another animal, with the information embedded in an individual's brain. A visual module references the steganography module to cause a sequence of visual images on a display screen to guide a motor sequence of an individual as the cover message as well as detect and communicate a timing of the individual's motor sequence, relative in timing, to visual images in the sequence of visual images being displayed on the display screen, in order to train in the cover message and hidden message. The hidden message is then extracted at a destination from a sensor monitoring the individual's sequence of motor actions.

Abstract: An embodiment of an integrated atom chip used for measuring atoms is discussed. One or more magnetic traps integrated with an optical waveguide that is imprinted onto the integrated atom chip facilitate loading of the atoms into an evanescent field optical trap of the optical waveguide in order to measure the atoms. The two or more stages of cooling are used to progressively cool the atoms from an initial temperature down to a final temperature of the atoms when mode matched and loaded into the evanescent field optical trap of the optical waveguide.

Abstract: A phased array antenna system has at least one trough reflector, each trough reflector having at least one phased array located at a feed point of the reflector, and an array of elements located near to a point equal to one half of a center transmission wavelength. A method of decoding a receive signal includes propagating a transmit signal through a transmit and a receive path of a phased array to generate a coupled signal, digitizing the coupled signal, storing the digitized coupled signal, receiving a signal from a target, and using the digitized coupled signal to decode the signal from the target. A method of modeling the ionosphere includes transmitting measuring pulses from an incoherent scattering radar transmitter, receiving incoherent scatter from the transmitting, and analyzing the incoherent scatter to determine pulse and amplitude of the incoherent scatter to profile electron number density of the ionosphere.

Abstract: Embodiments provide a stationary X-ray source for a multisource X-ray imaging system for tomographic imaging. The stationary X-ray source includes an array of thermionic cathodes and, in most embodiments a rotating anode. The anode rotates about a rotation axis, however the anode is stationary in the horizontal or vertical dimensions (e.g. about axes perpendicular to the rotation axis). The elimination of mechanical motion improves the image quality by elimination of mechanical vibration and source motion; simplifies system design that reduces system size and cost; increases angular coverage with no increase in scan time; and results in short scan times to, in medical some medical imaging applications, reduce patient-motion-induced blurring.

Abstract: The activities of multiple virtual personal assistant (VPA) applications are coordinated. For example, different portions of a conversational natural language dialog involving a user and a computing device may be handled by different VPAs.

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 standard encryption schemes 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: In general, the disclosure describes techniques for creating runtime-throttleable neural networks (TNNs) that can adaptively balance performance and resource use in response to a control signal. For example, runtime-TNNs may be trained to be throttled via a gating scheme in which a set of disjoint components of the neural network can be individually “turned off” at runtime without significantly affecting the accuracy of NN inferences. A separate gating neural network may be trained to determine which trained components of the NN to turn off to obtain operable performance for a given level of resource use of computational, power, or other resources by the neural network. This level can then be specified by the control signal at runtime to adapt the NN to operate at the specified level and in this way balance performance and resource use for different operating conditions.

Abstract: Techniques are disclosed for training machine learning systems. An input device receives training data comprising pairs of training inputs and training labels. A generative memory assigns training inputs to each archetype task of a plurality of archetype tasks, each archetype task representative of a cluster of related tasks within a task space and assigns a skill to each archetype task. The generative memory generates, from each archetype task, auxiliary data comprising pairs of auxiliary inputs and auxiliary labels. A machine learning system trains a machine learning model to apply a skill assigned to an archetype task to training and auxiliary inputs assigned to the archetype task to obtain output labels corresponding to the training and auxiliary labels associated with the training and auxiliary inputs assigned to the archetype task to enable scalable learning to obtain labels for new tasks for which the machine learning model has not previously been trained.

Abstract: A method, apparatus and system for anomaly detection in a processor based system includes training a deep learning sequence prediction model using observed baseline behavioral sequences of at least one processor behavior of the processor based system, predicting baseline behavioral sequences from the observed baseline behavioral sequences using the sequence prediction model, determining a baseline reconstruction error distribution profile using the baseline behavioral sequences and the predicted baseline behavioral sequences, predicting test behavioral sequences from observed, test behavioral sequences using the sequence prediction model, determining a testing reconstruction error distribution profile using the observed test behavioral sequences and the predicted test behavioral sequences, and comparing the baseline reconstruction error distribution profile to the testing reconstruction error distribution profile to determine if an anomaly exists in a processor behavior of the processor based system.

Abstract: Techniques are disclosed for using a computation engine executing a machine learning system to generate, according to constraints, renderings of a building or building information modeling (BIM) data for the building, wherein the constraints include at least one of an architectural style or a building constraint. In one example, an input device is configured to receive an input indicating one or more surfaces for the building and one or more constraints. A machine learning system executed by a computation engine is configured to apply a model, trained using images of buildings labeled with corresponding constraints for the buildings, to the one or more surfaces for the building to generate at least one of a rendering of the one or more surfaces for the building according to the constraints or BIM data for the building according to the constraints. Further, the machine learning system is configured to output the rendering or the BIM data.

Abstract: An artificial intelligence engine that has two or more modules cooperating with each other in order to create one or more machine learning models that use an adaptive semantic learning for knowledge representations and reasoning. The modules cause encoding the representations and reasoning from one or more sources in a particular field with terminology used by one or more human sources in that field into a set of rules that act as constraints and that are graphed into a neural network understandable by a first machine learning model, and then ii) adapting an interpretation of that set of encoded rules. The understanding of that set of encoded rules is adapted by i) allowing for semantically similar terms and ii) by conclusions derived from training data, to create an understanding of that set of encoded rules utilized by the machine learning model and the AI engine.

Abstract: A ROIC can perform systolic processing of light detectors. The ROIC performs the systolic processing of the light detectors to capture at least i) when, in time units, an initial photon of its reflected light pulse is captured by each of the light detectors in the array, ii) where geographically in terms of column and row address of the light detector capturing its photon is located in the array, iii) scan out data captured by the light detectors on the when in time units, and the where geographically that the photon was captured in a given light detector in the array, and then iv) analyze the data on the when and the where with an algorithm to know exactly when exactly, in terms of time units, the photon was captured relative to the input from the clock circuit in order to determine an objects characteristics.

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: Techniques are disclosed for training a deep neural network (DNN) for reduced computational resource requirements. A computing system includes a memory for storing a set of weights of the DNN. The DNN includes a plurality of layers. For each layer of the plurality of layers, the set of weights includes weights of the layer and a set of bit precision values includes a bit precision value of the layer. The weights of the layer are represented in the memory using values having bit precisions equal to the bit precision value of the layer. The weights of the layer are associated with inputs to neurons of the layer. Additionally, the computing system includes processing circuitry for executing a machine learning system configured to train the DNN. Training the DNN comprises optimizing the set of weights and the set of bit precision values.

Abstract: Described herein are compounds, agents, compositions, and methods related to the treatment of a viral infection (e.g., Hepatitis C viral infection). In particular, the compounds, agents, compositions, and methods described herein inhibit viral entry into a target cell.

Abstract: Techniques are disclosed for identifying fixed bits of a bitstring format. One or more processors are configured to generate a first bitstring having respective first bit values that have a first satisfiability state and generate a second bitstring having respective second bit values that have a second satisfiability state. The one or more processors are configured to identify first potential free bits having respective first common values and generate a third bitstring having first potential free bits with the respective first common values and third remaining bits. The one or more processors are configured to identify second potential free bits having respective second common values and identify a fixed bit that is not included in the first potential free bits and is not included in the second potential free bits.

Abstract: Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more images of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.

Abstract: A device includes a substrate, an array of metal pads on a first surface of the substrate, a carbon polymer composite covering the array of metal pads, the composite having variations that result in random resistance values between the metal pads usable as a random code. A method of manufacturing a secure device, including forming an array of metal pads on a dielet substrate, the dielet substrate containing at least one memory in which is stored an encryption key, and an RF communication section, covering the array of metal pads with a carbon polymer composite such that variations in the carbon concentration in the polymer forms a unique pattern of resistance, attaching the dielet substrate to a host component, receiving a request from a security server for a unique code determined by the unique pattern of resistance, and using the encryption key, encrypting and providing the unique code to the security server.

Abstract: A solid-state heat transporting device including a heat transporting element whose uniformity of contact with one or multiple surfaces is controllable so that various amounts of heat may be transported to and from the one or multiple surfaces. The heat transporting element uses the electrocaloric effect to absorb and release the heat and the uniformity of contact is controlled using an electrostatic effect which may change the shape of the heat transporting element. In one embodiment, the heat transporting element is an electrostatically actuated P(VDF-TrFE-CFE) polymer stack achieving a high specific cooling power of 2.8 W/g and a COP of 13 (the highest reported coefficient of performance to date) when used as a cooling device.

Abstract: A computing system includes a vision-based user interface platform to, among other things, analyze multi-modal user interactions, semantically correlate stored knowledge with visual features of a scene depicted in a video, determine relationships between different features of the scene, and selectively display virtual elements on the video depiction of the scene. The analysis of user interactions can be used to filter the information retrieval and correlating of the visual features with the stored knowledge.