Abstract: A computer-implemented method, system and computer program product for sharing and utilizing healthcare data, by: providing one or more computer-implemented machine learning models for analyzing the healthcare data; and recording transactions involving the machine learning models using a blockchain as a distributed ledger that is shared, replicated and synchronized. Healthcare data is also used to train the machine learning models. The healthcare data comprises research data or patient data such as Electronic Medical Records (EMRs). A smart contract that is a computer-implemented protocol is used to facilitate, verify or enforce negotiation of the transactions involving the machine learning models or healthcare data.

Abstract: One embodiment provides for a general-purpose graphics processing unit comprising a processing array including multiple compute blocks, each compute block including multiple processing clusters and a thread dispatch unit to dispatch threads of a workload to the multiple compute blocks based on a parallelism metric, wherein the thread dispatch unit, based on the parallelism metric, is to perform one of a first operation and a second operation, the first operation to distribute threads across the multiple compute blocks and the second operation is to concentrate threads within one of the multiple compute blocks.

Abstract: An edge computing platform with machine learning capability is provided between a local network with a plurality of sensors and a remote network. A machine learning model is created and trained in the remote network using aggregated sensor data and deployed to the edge platform. Before being deployed, the model is edge-converted (“edge-ified”) to run optimally with the constrained resources of the edge device and with the same or better level of accuracy. The “edge-ified” model is adapted to operate on continuous streams of sensor data in real-time and produce inferences. The inferences can be used to determine actions to take in the local network without communication to the remote network. A closed-loop arrangement between the edge platform and remote network provides for periodically evaluating and iteratively updating the edge-based model.

Abstract: Offloading of location computation from a location server to an access point through the use of projections on base phase vectors may be provided. First, an Access Point (AP) may receive a set of two or more base phase vectors from a location server. Next, the AP may measure a measured phase vector for a first signal from a user device. Then, the AP can determine projection values based on a comparison of the measured phase vector to each base phase vector. From these comparisons, the AP can determine a subset of base phase vectors with the highest projection values. The AP can then send the projection values and the subset of base phase vectors to the location server, wherein the location server determines the device location from these projection values and subset of base phase vectors.

Abstract: Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.

Abstract: One embodiment provides for a graphics processor comprising a translation lookaside buffer (TLB) to cache a first page table entry for a virtual to physical address mapping for use by the graphics processor, the first page table entry to indicate that a first virtual page is cleared to a clear color and a graphics pipeline to bypass a memory access for the first virtual page based on the first page table entry, wherein the graphics pipeline is to read a field in the first page table entry to determine a value of the clear color.

Abstract: Systems and methods for latency masking via prefix caching, by providing a recorded output of launch of a network application to a client device from a point closer to client device, or with lower latency than output of the actual network application can be provided to the client device. The resulting user experience is that of instant or near-instant launch of the application, avoiding network delays communicating with the application server or processing delays from instantiation of virtual machines or other resources to provide the network application.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a target distribution schedule for providing electronic communications based on predicted behavior rates by utilizing a genetic algorithm and one or more objective functions. For example, the disclosed systems can generate predicted behavior rates by training and utilizing one or more behavior prediction models. Based on the predicted behavior rates, the disclosed systems can further utilize a genetic algorithm to apply objective functions to generate one or more candidate distribution schedules. In accordance with the genetic algorithm, the disclosed systems can select a target distribution schedule for a particular user/client device. The disclosed systems can thus provide one or more electronic communications to individual users based on respective target distribution schedules.

Abstract: The present invention provides one or more head sections having a setting that are releasably engaged with one or more bases.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling energy resources available to micro-grids of a city based on mobility patterns of people moving within the micro-grids. The mobility patterns can be identified using a network of sensors within each micro-grid for collecting data related to the movement of people within the micro-grids. The mobility patterns can be used to estimate energy demand for each micro-grid and prioritize the energy demands to determine the energy resources that would be suitable for supplying power to each micro-grid. This allows for micro-grids to dynamically and efficiently change their power sources according to predictions about the movement of people within the micro-grids.

Abstract: A processing system collects data points, wherein each data point indicates a location of user equipment in a telecommunication service provider network at a point in time, generates, for a first data point, a set of features over a plurality of time windows, wherein the set includes time series features, estimates an importance of each feature, wherein the importance indicates an accuracy with which the feature allows for estimation of an unseen location of the user equipment, wherein the unseen location is a location that is not identified in the plurality of data points, selects a threshold number of features from the set, wherein the threshold number of features have a greatest importance relative to all features in the set, generates a plurality of predictions of the unseen location, using the threshold number of features, aggregates the plurality of predictions, and estimates the unseen location based on the aggregating.

Abstract: Thin-film devices, for example electrochromic devices for windows, and methods of manufacturing are described. Particular focus is given to methods of patterning optical devices. Various edge deletion and isolation scribes are performed, for example, to ensure the optical device has appropriate isolation from any edge defects. Methods described herein apply to any thin-film device having one or more material layers sandwiched between two thin film electrical conductor layers. The described methods create novel optical device configurations.

Abstract: Various aspects of the disclosure relate to distributed multiple-input multiple-output (MIMO) communication such as coordinated beamforming or Joint MIMO. In some aspects, distributed MIMO is used to support communication in a cluster of wireless nodes (e.g., access points). A distributed MIMO scheduling scheme as taught herein is used to schedule the wireless nodes (e.g., access points and/or stations) operating within the cluster. For example, selected stations may be triggered to communicate with respective access points.

Abstract: Some embodiments provide a method for implementing a logical router in a logical network. In some embodiments, the method receives a configuration of a static route for the logical router, which includes several routing components with separate routing tables. The method identifies which of the routing components require addition of a route to a corresponding routing table to implement the configuration of the static route. The method adds the routes to the corresponding separate routing tables of the identified routing components.

Abstract: Some embodiments provide a method or tool for automatically configuring a logical router on one or more edge nodes of an edge cluster (e.g., in a hosting system such as a datacenter). The method of some embodiments configures the logical router on the edge nodes based on a configuration policy that dictates the selection method of the edge nodes. In some embodiments, an edge cluster includes several edge nodes (e.g., gateway machines), through which one or more logical networks connect to external networks (e.g., external logical and/or physical networks). In some embodiments, the configured logical router connects a logical network to an external network through the edge nodes.

Abstract: A hair coloring mixture including a carrier liquid with alumino-silicate micro-tubes having a hair dye agent loaded into the lumen of the micro-tubes. The micro-tubes may be present in the carrier liquid in a concentration of between about 5 mg/ml and about 100 mg/ml, while the mixture will have a pH of between about 4 and about 7.

Abstract: Embodiments described herein provide an apparatus comprising a processor to allocate a first memory space for data for a graphics workload, the first memory comprising a first plurality of addressable memory locations, allocate a second memory space for compression metadata relating to the data for the graphics workload, the second memory space comprising a second plurality of addressable memory locations and having an amount of memory corresponding to a predetermined ratio of the amount of memory allocated to first memory space, and configure a direct memory mapping between the first plurality of addressable memory locations and the second plurality of addressable memory locations. Other embodiments may be described and claimed.

Abstract: One embodiment provides for a general-purpose graphics processor comprising a hardware graphics rendering pipeline configured to perform multisample anti-aliasing, the hardware graphics rendering pipeline including a pixel processing unit configured to generate pixel color data in a graphics processing pipeline, the pixel processing unit to output color data to a multisample render target, the multisample render target to store multiple sample locations for each pixel in a set of pixels. The general-purpose graphics processor further comprises a memory allocator to allocate memory to store color data associated with the multisample render target, the memory allocator to merge a memory allocation for multiple pixels having a sample associated with a same color value.

Abstract: An apparatus comprising: a receiver; and one or more N-path filters coupled to an input of the receiver, wherein the one or more N-path filters apply a combination of non-overlapping pulses and a pseudo noise (PN) code.