Abstract: A method, apparatus and system for providing process-level forensics for a plurality of application containers includes for each of the plurality of application containers; monitoring forensics information of the application container, encoding the monitored forensics information using an encoder of a predetermined encoder/decoder pair to determine a forensics model, decoding the forensics model to determine a reconstructed representation of the forensics information, comparing the reconstructed representation of the forensics information to the monitored forensics information to determine an error and comparing the error to a threshold to determine if an error above the threshold exists. If the error is below the threshold, the forensics model is communicated to a higher-level manager to be used for higher-level management. If the error is above the threshold, the monitored forensics information of the application container is also communicated to the higher-level manager.

Abstract: An integrated circuit having Radio Frequency Identification components and circuitry used for authentication is discussed. The RFID components and circuitry include two or more coils and corresponding electrical circuits that are tuned to use two or more different resonant frequencies including: a first resonant RF used for power generation and a second resonant RF used for data communication. The integrated circuit contains a unique signature that is used for the authentication with two or more aspects including i) a first aspect that is a programmed password in a memory embedded on the integrated circuit, and ii) a second aspect that is a unique, randomly generated code based upon a physical characteristic of the integrated circuit.

Abstract: A method, apparatus and system for malware characterization includes receiving data identifying a presence of at least one anomaly of a respective portion of a processing function captured by at least one of each of at least two different sensor payloads and one sensor payload at two different times, determining a correlation between the at least two anomalies identified by the data captured by the at least one sensor payloads, and determining a presence of malware in the processing function based on the determined correlation. The method, apparatus and system can further include predicting an occurrence of at least one anomaly in the network based on at least one of current sensor payload data or previously observed and stored sensor payload data, recommending and/or initiating a remediation action and reporting a result of the malware characterization to a user.

Abstract: Techniques are disclosed for training a machine learning model to perform actions within an environment. In one example, an input device receives a declarative statement. A computation engine selects, based on the declarative statement, a template that includes a template action performable within the environment. The computation engine generates, based on the template, synthetic training episodes. The computation engine further generates experiential training episodes, each experiential training episode collected by a machine learning model from past actions performed by the machine learning model. Each synthetic training episode and experiential training episode comprises an action and a reward. A machine learning system trains, with the synthetic training episodes and the experiential training episodes, the machine learning model to perform the actions within the environment.

Abstract: The disclosure includes an outer electrode and an inner electrode. The outer electrode defines an inner volume and is configured to receive injected electrons through at least one aperture. The inner electrode positioned in the inner volume. The outer electrode and inner electrode are configured to confine the received electrons in orbits around the inner electrode in response to an electric potential between the outer electrode and the inner electrode. The apparatus does not include a component configured to generate an electron-confining magnetic field.

Abstract: A variety of transmission mechanisms are provided that include split pulleys nested within each other in order to reduce the size of the transmissions, to provide infinitely variable transmission ratios that include forward and reverse ratios, or to provide some other benefits. The transmissions include multiple inner split pulleys nested within an outer split pulley. Two, three, or more inner split pulleys can be disposed within the transmission to balance the mass of the inner split pulleys in order to reduce vibration and internal stresses experienced by the transmission. This can increase the lifespan of the transmission, reduce wear, and increase efficiency. Additionally, providing multiple inner split pulleys in a nested configuration can allow for reduction of loads transmitted through bearings of the transmission.

Abstract: A system includes a substrate, a first and a second magnetic field sensor, and a computing device communicatively coupled to the first and second magnetic field sensors. The substrate has a surface encoded with a magnetic pattern sequenced along a direction of movement of the substrate. The magnetic pattern includes a data pattern that indicates a position of the substrate along the direction of movement and a clock pattern interleaved and substantially colinear with the data pattern that indicates a plurality of clock transitions. The computing device is configured to receive, from the first and second magnetic field sensors positioned above the magnetic pattern, a plurality of magnetic field signals detected from the magnetic pattern. The computing device is configured to determine, based on the plurality of magnetic field signals, the position of the substrate and output the position of the substrate.

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: An embodiment includes a gate valve comprising: a valve body including a cavity coupled to a channel having proximal and distal portions; a gate to seal and unseal the channel; proximal and distal seats adjacent the gate; wherein (a) the proximal seat traverses towards the gate and stops at a first position when the gate is closing and the proximal channel portion is more highly pressurized than the cavity, and (b) the distal seat slides away from the gate and stops at a second position when the gate is closing and the cavity is more heavily pressurized than the distal channel portion. Other embodiments are described herein.

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: 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: An endless track for a tracked vehicle includes a track body and a plurality of cores at least partially embedded the track body, each core having at least one roller surface configured to contact an outer flange of a track roller when the track roller is engaged with an inner surface of the track body, and at least one protrusion configured to contact an inner flange of the track roller when the track roller is engaged with the inner surface of the track body. The track roller is configured to simultaneously contact a first core and an adjacent second core. A distance between the first core and the second core is selected such that about 0.2% of a flange diameter of the track roller extends perpendicular to an axis between a first contact point on the first core and a second contact point on the second core.

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: The present invention relates to a method for estimating lung morphometry based on aerosol deposition characteristics using an imaging means such as a gamma camera to scan the lungs. An adaptive image threshold technique is used to determine the ratio of deposition in central to peripheral region of the lung (C/P ratio). The morphometric parameters such as length and diameter of distal lung airways (P8 and P9 respectively) and mean alveolar diameter (dalv) are determined from aerosol retention data and clearance data.

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: 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: 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.