Abstract: A method, apparatus and computer program product are provided for establishing correspondences between images using through generation of a translation between the different perspectives. Methods may include: receiving first sensor data from a first image sensor, where the first sensor data includes a first image of an environment captured from a first perspective; receiving second sensor data from a second image sensor of a second image of the environment captured from a second perspective; identifying image correspondence points between the first sensor data and the second sensor data; computing pairwise vectors between corresponding pairs of first projected points of the first sensor data and second projected points of the second sensor data; clustering the pairwise vectors according to magnitude and orientation; and generating a translation vector from clusters of pairwise vectors, where the translation vector represents a shift of the second image sensor data to correspond to ground truth data.

Abstract: A device described herein may maintain a sets of service parameters respectively associated with multiple networks. The device may receive a request, including may include an identifier of a User Equipment (“UE”), to register the UE with a particular network. The device may identify, based on the request, a particular set of service parameters associated with the particular network, and may output an indication, to the particular network, indicating the identifier of the UE and the identified particular set of service parameters. The particular network may select or generate a set of network credentials based on receiving the indication, which may be used by the UE to access the particular network. The particular network may provide service to the UE in accordance with the particular set of service parameters.

Abstract: Embodiments described herein provide techniques to enable the dynamic reconfiguration of memory on a general-purpose graphics processing unit. One embodiment described herein enables dynamic reconfiguration of cache memory bank assignments based on hardware statistics. One embodiment enables for virtual memory address translation using mixed four kilobyte and sixty-four kilobyte pages within the same page table hierarchy and under the same page directory. One embodiment provides for a graphics processor and associated heterogenous processing system having near and far regions of the same level of a cache hierarchy.

Abstract: Antimicrobial compositions comprising one or more compound components generally recognized as safe for human consumption, and related methods of use, such compositions and methods as can be employed in a wide range of agricultural, industrial, building, pharmaceutical, personal care and/or animal care products and applications.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate command lists to be offloaded to accelerator circuitry. An example apparatus includes kernel duration model circuitry to predict a duration of execution of a first kernel based on a first source location, a first name, a first property of a first argument, or an occupancy of the first kernel. The example apparatus includes subsequent kernel model circuitry to predict a tuple and a dependency of a second kernel based on a second source location, a second name, a second property of a second argument, or a time of submission of the previous kernel. The example apparatus includes reinforcement learning model circuitry to determine whether to bundle the first kernel into a command list based on the duration of execution of the first kernel, the tuple of the second kernel, or the dependency of the second kernel.

Abstract: Examples relate to an encoding apparatus, encoding device, encoding method, computer program and to a corresponding computer system. An encoding apparatus comprises processing circuitry configured to encode at least two video streams to perform video compression encoding using one or more encoders, wherein the one or more encoders are each configured to deter-mine an encoding context based on the video stream processed by the respective encoder, the encoding context comprising at least one or more reference frames determined by the respective encoder. The processing circuitry is configured to store at least one of the encoding contexts determined by the one or more encoders in a shared memory portion of the memory circuitry that is accessible to the one or more encoders. The processing circuitry is configured to proceed, using the one or more encoders, with encoding the at least two video streams based on an encoding context stored in the shared memory portion.

Abstract: This disclosure is directed to devices, systems, and techniques for identifying a respiration rate based on an impedance signal. In some examples, a medical device system includes a medical device including a plurality of electrodes. The medical device is configured to perform, using the plurality of electrodes, an impedance measurement to collect a set of impedance values, where the set of impedance values is indicative of a respiration pattern of a patient. Additionally, the medical device system includes processing circuitry configured to identify a set of positive zero crossings based on the set of impedance values, identify a set of negative zero crossings based on the set of impedance values, and determine, for the impedance measurement, a value of a respiration metric using both the set of negative zero crossings and the set of positive zero crossings.

Abstract: A method of determining signal quality in a patient monitoring device includes acquiring one or more signals using the patient monitoring device. One or more signal quality metrics are determined based on the one or more acquired signals. A noise condition is detected based on the one or more signal quality metrics, and a determination is made whether the noise condition should be classified as intermittent or persistent. One or more actions are taken based on the classification of detected noise as intermittent or persistent.

Abstract: Image fingerprints (embeddings) are generated by an image fingerprinting model and indexed with an approximate nearest neighbors (ANN) model trained to identify the most similar fingerprint based on a subject embedding. For image matching, a score is provided that indicates a similarity between the input embedding and the most similar identified embedding, which allows for matching even when an image has been distorted, rotated, cropped, or otherwise modified. For image classification, the embeddings in the index are clustered and the clusters are labeled. Users can provide just a few images to add to the index as a labeled cluster. The ANN model returns a score and label of the most similar identified embedding for labeling the subject image if the score exceeds a threshold. As improvements are made to the image fingerprinting model, a converter model is trained to convert the original embeddings to be compatible with the new embeddings.

Abstract: Mimetic peptides having anti-angiogenic and anti-tumorigenic properties and methods of their use for treating cancer, ocular diseases, such as age-related macular degeneration, and other-angiogenesis-dependent diseases are disclosed, More particularly, an isolated peptide comprising the amino acid sequence LRRFSTAPFAFIDINDVINF, which exhibits anti-angiogenic activity in endothelial cell proliferation, migration, adhesion, and tube formation assays, anti-migratory activity in human breast cancer cells in vitro, anti-angiogenic and anti-tumorigenic activity in vivo in breast cancer xenograft models, and age-related macular degeneration models is disclosed. The isolate peptide also exhibits anti-lymphangiogenic and directly anti-tumorigenic properties.

Abstract: A technique improves implementation of an index for an operations log (oplog) that coalesces random write operations directed to a virtual disk (vdisk) stored on an extent store. The oplog temporarily caches data associated with the random write operations (i.e., write data) as well as metadata describing the write data. The metadata includes descriptors to the write data stored on virtual address regions, i.e., offset ranges, of the vdisk and are used to identify the offset ranges of write data for the vdisk that are cached in the oplog. To facilitate fast lookup operations of the offset ranges when determining whether write data is cached in the oplog, an oplog index provides a state of the latest data for offset ranges of the vdisk. The technique improves implementation of the oplog index by storing the oplog index in storage class memory, such as persistent memory, to obviate failure and subsequent recovery of the oplog index.

Abstract: Provided herein are consensus amino acid sequences of prostate antigens that are capable of breaking tolerance in a targeted species, including PSA, PSMA, STEAP and PSCA antigens. Also provided are nucleic acid sequences that encode one or more consensus amino acid sequences of prostate antigens PSA, PSMA, STEAP and PSCA, as well as genetic constructs/vectors and vaccines expressing the sequences. Also provided herein are methods for generating an autoimmune response against prostate cancer cells by administering one or more of the vaccines, proteins, and/or nucleic acid sequences that are provided.

Abstract: A system for managing network devices of a communications network includes a management system and agents associated with network devices. The management system receives faults and based upon a machine learning system attempt to mitigate the faults based upon either an on-line or an off-line mitigation process.

Abstract: In some embodiments, techniques for identifying email events generated by bot activity are provided. For example, a process may involve applying bot detection patterns to identify bot activity among email response events.

Abstract: A system for measuring drip rate may include a drip chamber device comprising an elongated body including an inner surface defining a chamber, and a drip rate measurement device. The drip chamber may be fluidly coupled to a container containing an IV fluid configured to drip droplets of the IV fluid into the chamber. The drip rate measurement device may include a housing configured to be mounted to the elongated body of the drip chamber, and a load cell transducer mounted in the elongated body and extending into the chamber. The load cell transducer may be configured to measure a weight of the droplets of the IV fluid and convert the weight into an electrical signal. The drip rate measurement device may further include a controller electrically coupled to the load cell transducer to process the electrical signal and output at least one parameter associated with the IV fluid.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that implement an automatically evolving code recommendation engine. In one example, the apparatus collects a user code snippet. The apparatus then determines a structured representation of the user code snippet. Next, the apparatus generates a recommended code snippet using the structured representation of the user code snippet. Then the apparatus obtains user-determined code snippet feedback comparing the user code snippet to the recommended code snippet, the user-determined code snippet feedback indicating one of a match, no match, or uncertain. Finally, the apparatus stores a code snippet training pair in a training database, the code snippet training pair including the user code snippet and the recommended code snippet.

Abstract: In various examples, estimated field of view or gaze information of a user may be projected external to a vehicle and compared to vehicle perception information corresponding to an environment outside of the vehicle. As a result, interior monitoring of a driver or occupant of the vehicle may be used to determine whether the driver or occupant has processed or seen certain object types, environmental conditions, or other information exterior to the vehicle. For a more holistic understanding of the state of the user, attentiveness and/or cognitive load of the user may be monitored to determine whether one or more actions should be taken. As a result, notifications, AEB system activations, and/or other actions may be determined based on a more complete state of the user as determined based on cognitive load, attentiveness, and/or a comparison between external perception of the vehicle and estimated perception of the user.

Abstract: A stream of cybersecurity alerts is received. Each cybersecurity alert from the stream of cybersecurity alerts is associated with a set of attributes. Each cybersecurity alert from the stream of cybersecurity alerts is associated, based on the set of attributes and as that cybersecurity alert is received, to a bucket from a set of buckets. Each bucket from the set of buckets is associated with (1) an attribute from the set of attributes different than remaining buckets from the set of buckets and (2) a set cybersecurity alerts from the stream of cybersecurity alerts having the attribute. For each bucket from the set of buckets, a set of correlations between cybersecurity alerts included in the set of cybersecurity alerts for that bucket are determined, based on the set of cybersecurity alerts for that bucket, to generate an attack graph associated with that bucket.

Abstract: A technique monitors input/output (I/O) and Persistent Reservation (PR) activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site disaster recovery (DR) environment. Multiple instances of the application execute in different virtual machines (VMs) of a compute layer within a guest clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the multiple VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage. The compute owner and active storage site may not be co-located on the same site, leading to excessive I/O and PR activity patterns indicative of degraded performance.

Abstract: In various examples, systems and methods are disclosed that provide highly accurate gaze predictions that are specific to a particular user by generating and applying, in deployment, personalized calibration functions to outputs and/or layers of a machine learning model. The calibration functions corresponding to a specific user may operate on outputs (e.g., gaze predictions from a machine learning model) to provide updated values and gaze predictions. The calibration functions may also be applied one or more last layers of the machine learning model to operate on features identified by the model and provide values that are more accurate. The calibration functions may be generated using explicit calibration methods by instructing users to gaze at a number of identified ground truth locations within the interior of the vehicle. Once generated, the calibration functions may be modified or refined through implicit gaze calibration points and/or regions based on gaze saliency maps.