Abstract: Methods, systems, apparatuses, and computer program products are provided that are configured to perform localization of position data, specifically using a trained localization neural network. In the context of an apparatus, the apparatus is caused to receive observed feature representation data. The apparatus is further configured to transform the observed feature representation data into standardized feature representation data utilizing a trained localization neural network. The apparatus is further configured to compare the standardized feature representation data and the map feature representation data and identify local position data based on the comparison.

Abstract: A computing device is provided, including a logic subsystem with one or more processors, and memory storing instructions executable by the logic subsystem. These instructions are executed to obtain one or more source images, segment the one or more source images to generate a plurality of segments, determine a priority order for the plurality of segments, and transmit the plurality of segments to a remote computing device in the priority order. The plurality of segments are spatial components generated by spatial decomposition of the one or more source images and/or frequency components that are generated by frequency decomposition of the one or more source images. A remote computing device may receive these components in priority order, and perform certain algorithms on individual components without waiting for the entire image to upload.

Abstract: Described herein are methods of generating learning data to facilitate de-biasing the labeled location of an object of interest within an image. Methods may include: receiving sensor data, where the sensor data is a first image; determining reference corner locations of an object in the first image using image processing; generating observed corner locations of the object in the first image from the determined reference corner locations; generating a bias transformation based, at least in part, on a difference between the reference corner locations and the observed corner locations of the object in the first image; receiving sensor data from another image sensor of a second image; receiving observed corner locations of an object in the second image from a user; and applying the bias transformation to the observed corner locations of the object in the second image to generate de-biased corners for the object in the second image.

Abstract: The present application relates to a method of treating an inflammatory skin condition by administering a pharmaceutical composition comprising a reduced dose of minocycline to a subject in need thereof, wherein said administration provides an effective plasma or interstitial fluid concentration of minocycline for treating the inflammatory skin condition.

Abstract: Various embodiments of methods for detecting anomalous activity in a computer network are disclosed. A method includes a computer system receiving an indication of a current session establishing a secure channel to a computing device within a network. The computer system evaluates information relating to the current session, as well as information relating to one or more other sessions. Using this information, the computing system performs monitoring to detect the presence of anomalous lateral movement within the network, for example based on detecting multiple user credentials. Based on the evaluating performed, the computer system generates a score for the current session and reports whether the score is indicative of anomalous lateral movement.

Abstract: A method is provided for generating a representation of an environment. Methods may include: determining location information of a vehicle including a road segment and a direction of travel; identifying features of the road segment based on sensor data from sensors carried by the vehicle; projecting the features of the road segment onto a ground plane of the road segment; defining bins across a width of the road segment; laterally positioning the defined bins relative to a determination of positions of the features of the road segment; consolidating detected features of each bin to define features of the road segment; and guiding an autonomous vehicle along the road segment based, at least in part, on the consolidated detected features of the road segment.

Abstract: Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Abstract: Disclosed is a method for determining beam search space by a user equipment (UE), including determining a geo-location of a base station and a geo-location of the UE at a current time instance, determining a relative angle of reception from the base station based on the geo-location of the base station and the geo-location of the UE at the current time instance, determining a beam search space comprising a plurality of beams, for measurement, centered at the relative angle of reception, and determining an optimal beam from within the beam search space based on the measurement of the plurality of beams in the beam search space.

Abstract: A system for generating 2D slices of a 3D image of a target volume is provided. The system receives a target sinogram collected during a computed tomography scan of the target volume. The system inputs the target sinogram to a convolutional neural network (CNN) to generate predicted 2D slices of the 3D image. The CNN is trained using training 2D slices of training 3D images. The system initializes 2D slices to the predicted 2D slices. The system reconstructs 2D slices of the 3D image from the target sinogram and the initialized 2D slices.

Abstract: An image sensor may include an array of imaging pixels and verification circuitry. Row control circuitry including row drivers may provide control signals to the pixels in the array of imaging pixels. The verification circuitry may test proper operation of the row drivers. The verification circuitry be configured to pre-charge the first and second storage capacitors to a first bias voltage, intentionally discharge the first and second storage capacitors to a second bias voltage, reset only the first storage capacitor back to the first bias voltage, and use a first sample from the first storage capacitor and a second sample from the second storage capacitor to test operation of the row driver. If the row driver is operating correctly, a voltage swing will be detected between the two samples. If the row driver is stuck high or stuck low, the first and second samples may be the same.

Abstract: A method is provided for dynamically throttling processing and memory consumption of sensors based on context. Methods may include: receiving first sensor data from a first sensor, where the first sensor data includes data associated with an environment of the sensor; applying an auto-encoder framework to the first sensor data to establish a data difference score between frames of the first sensor data, where a relatively high data difference score corresponds to substantial differences between frames of the first sensor data, and wherein a relatively low data difference score corresponds to insubstantial differences between frames of the first sensor data; reducing a frame rate of data capture of the first sensor in response to the data difference score between frames of the first sensor data being relatively low; capturing first sensor data from the first sensor at the reduced frame rate; and providing for storage of the first sensor data.

Abstract: A memory stores a first cache and a second cache. A processor copies a first portion of data from a first table stored in a database into a second table. The processor further determines that a second portion of data from the first table will be overwritten and copies the second portion into a third table. The processor further determines that a probability that a user will access a third portion of the first table is greater than a threshold and copies the third portion into the first cache. The processor further determines a fourth portion of the first table that the user accesses at a frequency greater than a set frequency and copies the fourth portion into the second cache.

Abstract: Aspects of the present disclosure relate to systems and methods that aid users with hearing and/or speech impediments to have a conversation with a remote phone number without human assistance. In one aspect, an application residing on a user's device, such as a smartphone, tablet computer, laptop, etc., may be used to initiate a phone call to a recipient. Upon initiating the phone call locally, a service residing on the server may receive a request to initiate a connection to the recipient. Once the recipient answers, the user may converse with the recipient by providing text input to their local app. The text input may be transmitted to the service. The service may use a text to speech converter to translate the received text to speech that can be delivered to the recipient.

Abstract: This disclosure relates generally to conditioned spaces, and more particularly to a system and method for thermo-fluid management in the conditioned space. In one embodiment, the method includes retrieving geometry and operational information of the conditioned space from a conditioned space data. A 3D geometry of the conditioned space is automatically generated in a format suitable for a mesh generation model for numerical analysis by parsing the conditioned space data. A mesh is created within the 3D geometry using the mesh generation model. A simulation data is generated based at least on an operational data of the plurality of components. The simulation data is applied on the mesh to simulate a thermo-fluid model of the conditioned space.

Abstract: This disclosure relates to method that comprises sensing properties of a urine sample of a patient using a biomarker sensor to generate raw urine data. The method further includes transmitting the raw urine data to a processor, using the processor to generate processed urine data from the raw urine data, and transmitting the processed urine data to a computing device.

Abstract: A membrane device is presented that can used for a wide range of applications from once-through filtration, crossflow filtration, molecular separation, gas/liquid absorption or reaction, gas dispersion into liquid, and degassing of liquid. The device comprises a thin flat sheet membrane that allows certain fluid or molecules go through while blocking others. The membrane sheet is fixed on a supporting structure with mini channel on two sides of the membrane for respective feed and sweep flows. The membrane sheet is sealed with gaskets with two cover plates that the membrane sheet can be replaced or cleaned. The cover plate provides connection ports to connect the feed fluid to the feed channels on one membrane surface and to connect the sweep fluid to the sweep channels on the other surface of the membrane.

Abstract: A method, apparatus and computer program product are provided for enforcing a differential policy for autonomous vehicles along a road. In the context of a method, the may include: determining location information of a vehicle including a road segment and a direction of travel; identifying capabilities of sensors of the vehicle; determining an autonomous or semi-autonomous policy for the road segment specific to the vehicle in response to identifying the capabilities of the sensors of the vehicle; providing a first set of instructions for autonomous control in response to the capabilities of the sensors of the vehicle satisfying a first level of capability; and providing a second set of instructions for autonomous control in response to the capabilities of the sensors of the vehicle satisfying a second level of capability.

Abstract: Techniques for dynamically changing internal state of a battery are described herein. Generally, different battery configurations are described that enable transitions between different battery power states, such as to accommodate different battery charge and/or discharge scenarios.

Abstract: A computing device may comprise a volatile memory and a non-volatile storage device. Upon system shutdown, contents of the volatile memory may be preserved by memory transfer operations from the volatile memory to the non-volatile storage device. During memory preservation, the computing device may enter a low-power state. The low-power state may comprise suspension of power to a core of a processor while maintaining power to the processor's uncore, and disablement of interrupt signals not related to memory transfer operations. Power delivery to the core of the processor may be periodically resumed to initiate additional memory transfer operations.

Abstract: A method is provided for comparing relevant information between observations. Methods may include: receiving first sensor data from a first sensor type; receiving second sensor data from a second sensor of a second sensor type, different from the first sensor type, where the first and second sensor data includes data associated with an environment of the sensors; generating a first binary bitmask of the first sensor data; generating a second binary bitmask of the second sensor data; applying a mutual information score function using the first binary bitmask and the second binary bitmask as inputs; generating a mutual information score from the mutual information score function, wherein the mutual information score represents a degree of similarity between the sensor data; and establishing a reliability of the at least one of the first sensor or the second sensor.