Abstract: A method is provided. The method include obtaining, from a first system, a set of user requirements associated with one or more storage systems. The method also includes obtaining, from a second system, a set of storage system configurations based on the set of user requirements. The method further includes obtaining, from a third system, a set of costs for the set of storage system configurations. The method further includes generating multimedia content based on the set of storage system configurations, the multimedia content providing information about the set of storage system configurations. The method further includes providing the multimedia content to one or more client devices.

Abstract: A composite display device for an electronic gaming device includes a primary display device includes a first borderless edge and a secondary display device includes a second borderless edge. The composite display device also includes a housing for mounting the primary display device and the secondary display device, the primary display device being mounted with the first borderless edge adjacent to the second borderless edge of the secondary display device, thereby forming a display junction between the primary display device and the secondary display device. The composite display device further includes a touchscreen device for receiving touch input from a player of the electronic gaming device, the touchscreen device covering at least a portion of the primary display device and a portion of the secondary display device.

Abstract: A method and system that allows on-the-fly synthesis and evaluation of services a scale has been provided. The method and system provide a mechanism where the service offering and their price points are accessible in a machine format and allow themselves to be lent to synthesize new service offerings with budgetary constraints, within the parameters of the predefined time windows. The system allows both a service provider and a service consumer to use a shared screen environment for service synthesis and valuation with the service provider playing the role of navigator. The system comprises of re-routing and navigating a plurality of nodes in the service composition graphs based on specified optimization parameters as chosen by the service consumer and tuned by the service provider. The method comprises of generation of the graph and graph traversal algorithms for along with service composition nodes and their specifications.

Abstract: Described herein are—inter alia—complexes comprising a curcuminoid; and an anionic surfactant. Methods of making and using same are also described.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for utilizing a concept graphing system to determine and provide relationships between concepts within document collections or corpora. For example, the concept graphing system can generate and utilize machine-learning models, such as a sparse graph recovery machine-learning model, to identify less-obvious correlations between concepts, including positive and negative concept connections, as well as provide these connections within a visual concept graph. Additionally, the concept graphing system can provide a visual concept graph that determines and displays concept correlations based on the input of a single concept, multiple concepts, or no concepts.

Abstract: Various embodiments of the present disclosure provide an interactive map-based visualization system related to multi-channel search for search domains to improve upon traditional search resolutions within such domains. The techniques may include receiving a user interface request that comprises (i) character-level text input related to a search query via a user interface of a user device and (ii) filter metadata for a user identifier associated with the user interface request, generating a set of query result data objects for the user interface request by correlating the character-level text input to at least one domain knowledge profile, and generating a set of filtered query result data objects for the user interface request by filtering the set of query result data objects using the filter metadata. In some examples, the techniques may include initiating a rendering of a set of selectable graphical element options that are correlated to a real-time map visualization.

Abstract: The present invention relates to an intelligent digital medicine storage and reminder device (1). The intelligent digital medicine storage and reminder device (1) having an intelligent compartment (100) which comprises a LED (104), audio notification, visual signals and track medicine. The separate lock provided for the each compartment (100). The RFID detector (106) provided to identify the user once tapping RFID card and provide the time and schedule dosage of medicine. The QR code (201) provided which can be scanned by the mobile means to track schedule of medicine and to identify the user. For identifying the user the finger print sensor (307) provided. The intelligent compartment (100) eliminates the direct contact of the human hands with the medicine.

Abstract: Various embodiments of the present disclosure provide query processing techniques for resolving queries in a complex search domain to improve upon traditional search resolutions within such domains. The techniques may include generating a keyword and an embedding representation for an agnostic search query. The keyword representation may be compared against source text attributes within one or more domain channels to generate a plurality of keyword similarity scores between the search query and features within a search domain. The embedding representation may be compared against source embedding attributes within the one or more domain channels to generate a plurality of embedding similarity scores between the search query and the features within the search domain. The keyword and embedding similarity scores may be aggregated to generate aggregated similarity scores for identifying an intermediate query resolution for the search query. The intermediate query resolution may be leveraged to resolve the query.

Abstract: The memory array of a memory includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A row decoder circuit supports two modes of memory circuit operation: a first mode where only one word line in the memory array is actuated during a memory read and a second mode where one word line per sub-array are simultaneously actuated during the memory read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. Both BIST and ATPG testing of the input/output circuit are supported. For BIST testing, multiple data paths between the bit line inputs and the column data output are selectively controlled to provide complete circuit testing.

Abstract: Various embodiments of the present disclosure provide model-based domain-aware autocomplete techniques for generating autocomplete suggestions in a complex search domain. Example embodiments are configured to generate, using a domain-aware autocomplete model, a label for an autocomplete suggestion based on a set of keywords within an autocomplete suggestion training dataset associated with a target domain source. Example embodiments are also configured to generate, using a weak-labeling model, an updated label for the autocomplete suggestion by decorrelating the set of keywords from the label. Example embodiments are also configured to generate, using a sentence classification model, a category for the autocomplete suggestion based on the updated label. Example embodiments are also configured to, using the domain-aware autocomplete model, generate a suggestion-category pair (SCP) based on the autocomplete suggestion and the category for the autocomplete suggestion.

Abstract: A system and method are provided for capturing a high resolution, high frame rate video using a Universal Serial Bus (USB) port. Generally, the method involves transmitting a High-Definition Multimedia Interface (HDMI) video including a number of video frames from a HDMI-source. Receiving the HDMI video and buffering and splitting each one of the video frames into a plurality of split video frames. Each of the split video frames is converted into a number of USB data packets. USB data packets from each of the split video frames are then interleaved to form a stream of USB data packets. The stream of USB data packets is coupled to a host system, which executes a program to stitch the USB data packets back together to reassemble each of the video frames, and order the video frames to restore or recreate the HDMI video.

Abstract: A circuit includes a memory array with SRAM cells connected in rows by word lines and in columns by bit lines. A row controller circuit simultaneously actuates, through a word line driver circuit for each row, word lines in parallel for an in-memory compute operation. A column processing circuit processes analog voltages developed on the bit lines in response to the simultaneous actuation to generate a decision output for the in-memory compute operation. A bit line clamping circuit includes a sensing circuit that compares the analog voltages on a given pair of bit lines to a threshold voltage. A voltage clamp circuit is actuated in response to the comparison to preclude the analog voltages on the given pair of bit lines from decreasing below a clamping voltage level.

Abstract: Non-communicable diseases (NCDs) are the pandemics of modern era and are generating huge impact in the modern society. Conventional methods are inaccurate due to a challenge in handling data from heterogenous sensors. The present disclosure is capable of tracking fitness parameters of a user even with heterogenous sensors. Initially, the system receives a raw data from a plurality of heterogenous sensors associated with the user. The raw data is further transformed into a metadata format associated with the corresponding sensor. The transformed data is temporally aligned based on a time based slotting. An algorithm pipeline corresponding to a disorder to be analyzed is selected from a Directed Acyclic Graph (DAG) based on a sensor metadata and a plurality of algorithm metadata corresponding to a plurality of algorithms stored in an algorithm database and an algorithm pipeline. The corresponding disorder is analyzed using the algorithm pipeline.

Abstract: The disclosure herein relates to rechargeable batteries and solid electrolytes therefore which include lithium-stuffed garnet oxides, for example, in a thin film, pellet, or monolith format wherein the density of defects at a surface or surfaces of the solid electrolyte is less than the density of defects in the bulk. In certain disclosed embodiments, the solid-state anolyte, electrolyte, and catholyte thin films, separators, and monoliths consist essentially of an oxide that conducts Li+ ions. In some examples, the disclosure herein presents new and useful solid electrolytes for solid-state or partially solid-state batteries. In some examples, the disclosure presents new lithium-stuffed garnet solid electrolytes and rechargeable batteries which include these electrolytes as separators between a cathode and a lithium metal anode.

Abstract: Various embodiments of the present disclosure provide model-based domain-aware autocomplete techniques for generating autocomplete suggestions in a complex search domain. Example embodiments are configured to generate, using a domain-aware autocomplete model, a label for an autocomplete suggestion based on a set of keywords within an autocomplete suggestion training dataset associated with a target domain source. Example embodiments are also configured to generate, using a weak-labeling model, an updated label for the autocomplete suggestion by decorrelating the set of keywords from the label. Example embodiments are also configured to generate, using a sentence classification model, a category for the autocomplete suggestion based on the updated label. Example embodiments are also configured to, using the domain-aware autocomplete model, generate a suggestion-category pair (SCP) based on the autocomplete suggestion and the category for the autocomplete suggestion.

Abstract: An electronic device comprising multilevel bitlines comprising first bitlines and second bitlines. The first bitlines and the second bitlines are positioned at different levels. Pillar contacts are electrically connected to the first bitlines and to the second bitlines. Level 1 contacts are electrically connected to the first bitlines and level 2 contacts are electrically connected to the second bitlines. A liner is between the first bitlines and the level 2 contacts. Each bitline of the first bitlines is electrically connected to a single pillar contact in a subblock adjacent to the level 1 contacts and each bitline of the second bitlines is electrically connected to a single pillar contact adjacent to the level 2 contacts. Methods of forming an electronic device and related systems are also disclosed.

Abstract: In various examples, when a bridge of a chip has received an eviction request from a client of the chip, the bridge may transmit a read request that corresponds to the same cache line to another chip without waiting for an inter-chip completion response for the eviction request. When the read request is received, the bridge may determine whether the eviction request has already been sent to the other chip and transmit the read request based at least on the eviction request being sent to the other chip using an ordered communication network to ensure the communications are received and/or processed by the other chip in an order that maintains memory coherency. Additionally, the chips may process read unique requests without using an inter-chip completion acknowledgement and may process copy back requests by transmitting corresponding copy back write data with the copy back requests.

Abstract: Apparatuses and methods for reforming of hydrocarbons including recovery of products. A reforming-zone effluent is separated into a net gas phase stream and a liquid phase hydrocarbon stream. The net gas phase stream may be passed separated into an H2 rich stream and a tail gas stream in a PSA. The tail gas may be passed through an absorber and then passed through a membrane to form a second H2 rich stream and a liquid stream. A second absorber is used to recover C3/C4 hydrocarbons. The two absorbers may be stacked on top of each other.

Abstract: A method of optimizing energy consumption includes receiving vehicle route information, generating a baseline vehicle route profile including a baseline energy consumption and a baseline travel time, and processing the baseline vehicle route profile by detecting one or more changes in a road grade. For each detected change in the road grade, the method includes triggering a breakpoint to divide the baseline vehicle route profile into a plurality of segments, each segment in the plurality of segments having a baseline vehicle velocity, and for each segment in the plurality of segments, performing local optimization to generate a modified vehicle velocity. The method also includes generating an updated vehicle route profile and performing global optimization on the updated vehicle route profile to generate an optimized vehicle route profile, the optimized vehicle route profile having a different energy consumption than the baseline energy consumption.

Abstract: Disclosed is an example approach in which network and non-network features are used to train a predictive machine learning model that is implemented to predict financial crime and fraud. Graphical network features may be generated by applying financial entity risk vectors to a network model with representations of various types of networks. The network model may comprise transactional, non-social, and/or social networks, with edges corresponding to linkages that may be weighted according to various characteristics (such as frequency, amount, type, recency, etc.). The graphical network features may be fed to the predictive model to generate a likelihood and/or prediction with respect to a financial crime. A perceptible alert is generated on one or more computing devices if a financial crime is predicted or deemed sufficiently likely. The alert may identify a subset of the set of financial entities involved in the financial crime and present graphical representations of networks and linkages.