Abstract: An online system performs an inference task in conjunction with the model serving system and/or interface system to generate relevant product images for query auto-completion and query suggestion to help users better navigate their search experience. The online system generates a collection of query suggestions using search query log mining. For each query suggestion in the collection of query suggestions, the online system retrieves one or more catalog images that depict the query suggestion from a product catalog. The online system constructs a prompt to a text-to-image model including the query suggestion, and a request to generate one or more query images based on the query suggestion. The online system receives the query images from the text-to-image model and ranks the catalog and query images to identify an image to display to the user in association with the query suggestion.

Abstract: A language model is used to generate autosuggestions to complete or revise a user's partial search query. An initial partial query is applied to the language model to generate query candidates for completing the search query. The language model may generate the query candidates as additional or alternate tokens for the partial search query. When the user revises the partial query, the previously-generated candidates can be re-used to reduce subsequent processing time for generating additional candidates. The previously-generated candidates are compared with the revised partial query to select which of the candidates to be re-used and expanded for generating additional tokens. Additional tokens can be generated in parallel for the previously-generated candidates or with model values from the previous generation, enabling the tokens to be generated effectively with reduced latency consistent with user expectations for search-related autosuggestions.

Abstract: An online concierge system receives a search query from a client device. The online concierge system identifies a set of matching items from an item database. The matching items correspond to the received search query. The online concierge system obtains, from a hierarchical item taxonomy, a category label for each matching item. The item taxonomy relates each item in the item database to one of a plurality of category labels. The online concierge system groups the matching items by the category labels for each of the matching items into one or more groups. The online concierge system generates instructions for a user interface. The user interface includes a scrollable list of one or more carousels. Each carousel includes a scrollable list of a group of the one or more groups. The online concierge system sends the instructions of the user interface to the client device for display.

Abstract: A trained machine-learning model is used to generate a user interface with filters personalized for a user of a computer system. Responsive to a search query, a computer system generates, based on user's features, a set of candidate filter combinations, each candidate filter combination having combined functionalities of a plurality of filters from a maintained collection of filters. The computer system applies the machine-learning model to generate a score for each candidate filter combination that is indicative of a likelihood of user's engagement with the plurality of filters or a likelihood of user's conversion on an item given a user's selection of the plurality of filters. The computer system selects, using the score for each candidate filter combination, a set of filter combinations. The computer system causes the user interface to display a set of user interface elements associated with the set of filter combinations along with search results.

Abstract: An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

Abstract: A language model is used to generate autosuggestions to complete or revise a user's partial search query. An initial partial query is applied to the language model to generate query candidates for completing the search query. The language model may generate the query candidates as additional or alternate tokens for the partial search query. When the user revises the partial query, the previously-generated candidates can be re-used to reduce subsequent processing time for generating additional candidates. The previously-generated candidates are compared with the revised partial query to select which of the candidates to be re-used and expanded for generating additional tokens. Additional tokens can be generated in parallel for the previously-generated candidates or with model values from the previous generation, enabling the tokens to be generated effectively with reduced latency consistent with user expectations for search-related autosuggestions.

Abstract: An online system performs an inference task in conjunction with the model serving system and/or interface system to generate relevant product images for query auto-completion and query suggestion to help users better navigate their search experience. The online system generates a collection of query suggestions using search query log mining. For each query suggestion in the collection of query suggestions, the online system retrieves one or more catalog images that depict the query suggestion from a product catalog. The online system constructs a prompt to a text-to-image model including the query suggestion, and a request to generate one or more query images based on the query suggestion. The online system receives the query images from the text-to-image model and ranks the catalog and query images to identify an image to display to the user in association with the query suggestion.

Abstract: In some implementations, a mobile device may determine a set of target orientations of the mobile device in which an antenna lobe of the mobile device is pointed toward the satellite, the set of target orientations based on: an orientation of the antenna lobe relative to the mobile device, and a location of the satellite relative to the mobile device. The mobile device may determine a current orientation of the mobile device. The mobile device may provide, at a user interface (UI) of the mobile device, guidance for rotating the mobile device from the current orientation to an orientation within the set of target orientations.

Abstract: In some implementations, a mobile device may determine a set of target orientations of the mobile device in which an antenna lobe of the mobile device is pointed toward the satellite, the set of target orientations based on: an orientation of the antenna lobe relative to the mobile device, and a location of the satellite relative to the mobile device. The mobile device may determine a current orientation of the mobile device. The mobile device may provide, at a user interface (UI) of the mobile device, guidance for rotating the mobile device from the current orientation to an orientation within the set of target orientations.

Abstract: The present invention relates to the process of enrichment of Phytocannabinoids namely CBD and ?9-THC from the dried aerial part (leaves and inflorescence) of Cannabis sativa. The present invention also relates to the preparation of formulation having enriched CBD and THC by combining with appropriate acceptable excipients such as nutriose, dextrin and maltodextrin. The present invention also discloses the use of the phytocannabanoids enriched blend for the management of pain including cancer pain & general pain.

Abstract: An online system maintains item embeddings for items. As a number of items maintained by the online system increases, maintaining a single index of the item embeddings is increasingly difficult. To increase scalability, the online system partitions item embeddings into multiple indices, with each index corresponding to a value of a specific attribute maintained by the online system for items. For example, an online system generates indices that each correspond to a different warehouse offering items. To expedite retrieval of item embeddings, the online system allocates each index to one of a number of shards. When the online system receives a query, the online system determines an embedding for the query and retrieves an index from a shard based on metadata received with the query. Based on distances between the query for the embedding and the item embeddings in the retrieved index, the online system selects one or more items.

Abstract: An online system performs an inference task in conjunction with the model serving system and/or interface system to generate relevant product images for query auto-completion and query suggestion to help users better navigate their search experience. The online system generates a collection of query suggestions using search query log mining. For each query suggestion in the collection of query suggestions, the online system retrieves one or more catalog images that depict the query suggestion from a product catalog. The online system constructs a prompt to a text-to-image model including the query suggestion, and a request to generate one or more query images based on the query suggestion. The online system receives the query images from the text-to-image model and ranks the catalog and query images to identify an image to display to the user in association with the query suggestion.

Abstract: WUSCHEL and WUSCHEL-related homeobox polypeptides that can be used to improve the capacity of the plant cells to regenerate embryogenic plant tissues, plant organs, and whole plants are disclosed. Also disclosed are plant cells comprising the polypeptides and related methods for improving the capacity of the plant cells to regenerate embryogenic plant tissues, plant organs, and whole plants.

Abstract: An online system maintains item embeddings for items. As a number of items maintained by the online system increases, maintaining a single index of the item embeddings is increasingly difficult. To increase scalability, the online system partitions item embeddings into multiple indices, with each index corresponding to a value of a specific attribute maintained by the online system for items. For example, an online system generates indices that each correspond to a different warehouse offering items. To expedite retrieval of item embeddings, the online system allocates each index to one of a number of shards. When the online system receives a query, the online system determines an embedding for the query and retrieves an index from a shard based on metadata received with the query. Based on distances between the query for the embedding and the item embeddings in the retrieved index, the online system selects one or more items.

Abstract: A language model is used to generate autosuggestions to complete or revise a user's partial search query. An initial partial query is applied to the language model to generate query candidates for completing the search query. The language model may generate the query candidates as additional or alternate tokens for the partial search query. When the user revises the partial query, the previously-generated candidates can be re-used to reduce subsequent processing time for generating additional candidates. The previously-generated candidates are compared with the revised partial query to select which of the candidates to be re-used and expanded for generating additional tokens. Additional tokens can be generated in parallel for the previously-generated candidates or with model values from the previous generation, enabling the tokens to be generated effectively with reduced latency consistent with user expectations for search-related autosuggestions.

Abstract: An integrated three position rocker switch for vehicles comprises a housing configured to support one or more components of the switch, a knob assembly, a first micro-switch, a second micro-switch and knob. The knob assembly is disposed in the housing, wherein the knob assembly comprises a knob pivotally supported in the housing, and a plunger coupled with the knob through a resilient member. The first micro-switch is coupled with the knob assembly in the housing, and the second micro-switch is disposed in the housing in vicinity of the first micro-switch. The knob is configured to move in multiple positions for actuating the first and second micro-switches to perform more than one operation.

Abstract: In some implementations, a user device (e.g., a computing device) can perform client-side personalization of search results. For example, a computing device can obtain search results matching user specified search parameters from a server device and/or from various services on the user device. The user device can score the search results based on various search result item attributes. After scoring, the user device can promote or demote search results items based on whether the search results item is relevant to recent user behavior. The promotion and/or demotion of search results items can cause search results items scores to be adjusted to generate a personalized score for each search result. The search results can then be ordered and/or presented based on the personalized score for each search results item. When presenting search results items, the user device can present information indicative of the source of the search results items.

Abstract: In some implementations, a mobile device may perform a plurality of signal strength measurements of a radio frequency (RF) signal transmitted by a satellite, wherein performing the plurality of signal strength measurements occurs over a period of time during which the mobile device is subject to a movement. The mobile device may determine, for each signal strength measurement of the plurality of signal strength measurements, a respective orientation of the mobile device corresponding to when the respective signal strength measurement was performed. The mobile device may determine a target orientation for the satellite-based communications based at least in part on a value of a particular signal strength measurement of the plurality of signal strength measurements and the respective orientation of the mobile device corresponding to the particular signal strength measurement. The mobile device may provide guidance for rotating the mobile device to the target orientation.

Abstract: In some implementations, a mobile device may determine a set of target orientations of the mobile device in which an antenna lobe of the mobile device is pointed toward the satellite, the set of target orientations based on: an orientation of the antenna lobe relative to the mobile device, and a location of the satellite relative to the mobile device. The mobile device may determine a current orientation of the mobile device. The mobile device may provide, at a user interface (UI) of the mobile device, guidance for rotating the mobile device from the current orientation to an orientation within the set of target orientations.

Abstract: An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.