Abstract: An online concierge system allows users to order items from a warehouse having multiple physical locations, allowing a user to order items at any given warehouse location. To select a warehouse location for a warehouse selected by a user, the online concierge system identifies a set of items that the user has a threshold likelihood of purchasing from prior orders by the user. For each of a set of warehouse locations, the online concierge system applies a machine-learned item availability model to each item of the identified set. From the availabilities of items of the set at each warehouse location of the set, the online concierge system selects a warehouse location. The online concierge system identifies an inventory of items from the selected warehouse location to the user for inclusion in an order.

Abstract: A method comprises receiving a request for validation of software comprising one or more applications, analyzing the request and generating one or more validation steps based at least in part on the analysis. In the method, a time to complete the one or more validation steps is predicted. The predicting is performed using one or more machine learning models, and is based at least in part on a type and a number of the one or more applications.

Abstract: An online concierge shopping system identifies candidate items to a user for inclusion in an order based on prior user inclusion of items in orders and items currently included in the order. From a multi-dimensional tensor generated from cooccurrences of items in orders from various users, the online concierge system generates item embeddings and user embeddings in a common latent space by decomposing the multi-dimensional tensor. From items included in an order, the online concierge system generates an order embedding from item embeddings of the items included in the order. Scores for candidate items are determined based on similarity of item embeddings for the candidate items to the order embedding. Candidate items are selected based on their scores, with the selected candidate items identified to the user.

Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.

Abstract: An online concierge system generates suggested instructions for presentation to a user. The online concierge system access instruction examples corresponding to a target item category and generates candidate instruction representations based on instruction messages within each instruction example. The online concierge system generates preliminary scores for the candidate instruction representations that are directly related to an intra-category frequency of use of the instruction tokens of the candidate instruction representation within the target item category. The online system normalizes these preliminary scores for the candidate instruction representations based on the inter-category frequency of use of the instruction tokens in all item categories to generate final scores for the candidate instruction representations. The online concierge system selects a set of instruction representations based on these final scores and generates suggested instructions based on the set of instruction representations.

Abstract: A method performed by a function node for handling a voice call from a first User Equipment (UE) to be received by a second UE in a communications network. The function node is associated with the second UE. The function node receives an invite message that relates to an initiation of the voice call from the first UE to the second UE and comprises one or more parameters associated with the second UE and a time stamp of the initiating of the voice call. The function node retrieves location data from a home server associated with the second UE, based on the one or more parameters and the time stamp, which location data indicates a geographical location of the second UE. The function node predicts a reason why the second UE cannot receive the voice call, based on the location data.

Abstract: A memory device includes a plurality of select lines, a plurality of word lines, an array of memory cells, a bitline, and a resistance device. The array of memory cells includes multiple rows and multiple columns. The bitline is structured to receive a current in a read operation, causing a value stored in a selected memory cell to be readable when a select line and a word line that interest the selected memory cell are selected. The resistance device has a first terminal and a second terminal. The first terminal is coupled to the select lines, and the second terminal is coupled to ground. The resistance device is structured to bias, in the read operation, word lines of unselected memory cells in a column of a selected memory cell to a determined negative voltage.

Abstract: The present disclosure is directed to a circuit layout of a dual port static random-access-memory (SRAM) cell. The memory cell includes active regions in a substrate, with polysilicon gate electrodes on the active regions to define transistors of the memory cell. The eight transistor (8T) memory cell layout includes a reduced aspect ratio and non-polysilicon bit line discharge path routing by positioning an active region for the first port opposite an active region for the second port and consolidating power line nodes at a central portion of the memory cell.

Abstract: An online concierge system allows users to order items from a warehouse having multiple physical locations, allowing a user to order items at any given warehouse location. To select a warehouse location for a warehouse selected by a user, the online concierge system identifies a set of items that the user has a threshold likelihood of purchasing from prior orders by the user. For each of a set of warehouse locations, the online concierge system applies a machine-learned item availability model to each item of the identified set. From the availabilities of items of the set at each warehouse location of the set, the online concierge system selects a warehouse location. The online concierge system identifies an inventory of items from the selected warehouse location to the user for inclusion in an order.

Abstract: An Artificial Intelligence (AI)-based data transformation system receives an input package and enables automatic execution of one or more processes in a robotic process automation system (RPA). The input package includes a plurality of documents and metadata required for the execution of the automated processes. The plurality of documents are categorized into a domain. Entities with their corresponding name-value pairs and entity relationships are extracted from the plurality of documents. An ontology is selected based on the domain. The entities are mapped to output fields identified from the selected ontology. The mappings thus generated are transmitted to the RPA system which employs the mappings to automatically execute the one or more processes.

Abstract: A memory device includes bitcells connected to wordlines and bitlines, and driver circuitry that updates the bitcells. The driver circuitry includes first transistors, and a first inverter device. The first transistors drive a bitcell of a memory device. The first inverter device is coupled to the first transistors, and drives the first transistors with a first control signal. The first inverter device includes first inverter circuitry and second inverter circuitry. The first inverter circuitry receives a first signal, a first voltage, and a second voltage differing from the first voltage, and generates a first inverted signal based on the first signal, the first voltage and the second voltage. The second inverter circuitry receives the first inverted signal, the second voltage and a third voltage differing from the second voltage, and generates the first control signal based on the first inverted signal, the third voltage and the second voltage.

Abstract: A decoder decodes a memory address and selectively drives a select line (such as a word line or mux line) of a memory. An encoding circuit encodes the data on select lines to generate an encoded address. The encoded address and the memory address are compared by a comparison circuit to generate a test result signal which is indicative of whether the decoder is operating properly. To test the comparison circuit for proper operation, a subset of an MBIST scan routine causes the encoded address to be blocked from the comparison circuit and a force signal to be applied in its place. A test signal from the scan routine and the force signal are then compared by the comparison circuit, with the test result signal generated from the comparison being indicative of whether the comparison circuit itself is operating properly.

Abstract: An online concierge system allows users to order items from a warehouse having multiple physical locations, allowing a user to order items at any given warehouse location. To select a warehouse location for a warehouse selected by a user, the online concierge system identifies a set of items that the user has a threshold likelihood of purchasing from prior orders by the user. For each of a set of warehouse locations, the online concierge system applies a machine-learned item availability model to each item of the identified set. From the availabilities of items of the set at each warehouse location of the set, the online concierge system selects a warehouse location. The online concierge system identifies an inventory of items from the selected warehouse location to the user for inclusion in an order.

Abstract: A memory device includes clock signal generation circuitry, and first integrated level shifter and latch circuitry. The clock signal generation circuitry receives a first clock signal and an isolation signal, and generates a second clock signal based on the first clock signal and the isolation signal. The isolation signal corresponds to a power state of a power supply associated with the first clock signal. The first integrated level shifter and latch circuitry receives an input signal in a first power supply domain, and latches a value the input signal based on the second clock signal. Further, the first integrated level shifter and latch circuitry outputs, based on the latched value, an output signal in a second power supply domain different than the first power supply domain.

Abstract: An online concierge system maintains a taxonomy associating one or more specific items offered by a warehouse with a category. When the online concierge system receives a selection of an item from a user for inclusion in an order, the online concierge system determines a category including the selected item. From prior received orders, the online concierge system 102 identifies additional categories including one or more items included in various prior received orders. Based on cooccurrences of the category and the additional categories, the online concierge system generates scores for the additional categories. An additional category is selected based on the scores and specific items from the selected additional category are displayed via an interface for selection by the user.

Abstract: An online concierge system may determine recommended search terms for a user. The online concierge system may receive a request from a user to view a user interface configured to receive a search query. The online concierge system retrieves long-term activity data including previous search terms entered by the user while searching for items to add to an online shopping cart. For each previous search term, the online concierge system retrieves categorical search terms corresponding to one or more categories to which the previous search term was mapped. The online concierge system determines a set of nearby categorical search terms and sends, for display via a client device, the set of nearby categorical search terms as recommended search terms.

Abstract: Tracking circuitry for a memory device is disclosed. The tracking circuitry includes an inverter, a level shifter, delay circuitry, and a logic gate. The inverter is configured to receive a first clock signal and generate an inverted clock signal. The level shifter is configured to receive the first clock signal and the inverted clock signal and generate a level shifted clock signal. The delay circuitry is configured to receive the level shifted clock signal and generate an inverted level shifted clock signal. The logic gate comprises a first input configured to receive the first clock signal and a second input configured to receive the inverted level shifted clock signal. The logic gate is configured to generate a second clock signal based on the first clock signal and the inverted level shifted clock signal.

Abstract: The present disclosure is directed to a circuit layout of a dual port static random-access-memory (SRAM) cell. The memory cell includes active regions in a substrate, with polysilicon gate electrodes on the active regions to define transistors of the memory cell. The eight transistor (8T) memory cell layout includes a reduced aspect ratio and non-polysilicon bit line discharge path routing by positioning an active region for the first port opposite an active region for the second port and consolidating power line nodes at a central portion of the memory cell.

Abstract: An online concierge shopping system identifies candidate items to a user for inclusion in an order based on prior user inclusion of items in orders and items currently included in the order. From a multi-dimensional tensor generated from cooccurrences of items in orders from various users, the online concierge system generates item embeddings and user embeddings in a common latent space by decomposing the multi-dimensional tensor. From items included in an order, the online concierge system generates an order embedding from item embeddings of the items included in the order. Scores for candidate items are determined based on similarity of item embeddings for the candidate items to the order embedding. Candidate items are selected based on their scores, with the selected candidate items identified to the user.

Abstract: Some examples described herein provide a buffer memory pool circuitry that comprises a plurality of buffer memory circuits that store an entry identifier, a payload portion, and a next-entry pointer. The buffer memory pool circuitry further comprises a processor configured to identify an allocation request for a first virtual channel associated with a sequence of buffer memory circuits and comprising a start pointer identifying an initial buffer memory circuit. The processor is further configured to program the first virtual channel circuit based on setting the start pointer for the first virtual channel circuit to be equal to the entry identifier of the initial buffer memory circuit. The processor is also configured to monitor usage. A length of the sequence of buffer memory circuits of the first virtual channel circuit is defined by a start pointer for a second virtual channel circuit subsequent to the first virtual channel circuit.