Abstract: Solutions are presented to reduce a number of data transfers between a host system and a storage device by utilizing a file path to identify data to be processed, thus enabling an offloading engine to independently locate the file and read corresponding data.

Abstract: A semiconductor device includes: a memory cell array region including memory cells connected to respective word lines and bit lines; and a peripheral circuit region including a first semiconductor element and a second semiconductor element. Each of the first and second semiconductor elements includes: a fin structure extending in a first direction on a substrate; a gate structure extending on the fin structure in a second direction, perpendicular to the first direction, and including a gate dielectric layer and a gate metal layer; and a source region and a drain region in the substrate at opposing ends of the fin structure. A thickness of the gate dielectric layer in the first semiconductor element is greater than a thickness of the gate dielectric layer in the second semiconductor element, and the source and drain regions in the first semiconductor element are doped with first conductivity type impurities and have different structures.

Abstract: A method of operating a health tracking system is disclosed herein. The health tracking system includes a processor and a database configured to store a plurality of data records, each of the plurality of data records comprising at least a descriptive string and nutritional data regarding a respective consumable item. The method includes receiving, with the processor, a query string. The method further includes searching, with the processor, based on the query string, the database to retrieve a list of data records in the plurality of data records from the database. The method also includes determining, with the processor, a ranked list of data records by ranking the list of data records using a machine learning-based ranking model, based on the descriptive string and the nutritional data of data records in the list of data records.

Abstract: A method of operating a food categorization engine includes extracting features from each text description of a training food data set to generate a feature set. The feature set is analyzed to determine sets of food categorization features that correlate to one or more food categories, wherein the sets of food categorization features are defined by a plurality of category vectors. Individual words and/or characters of a text description of a food item received from a user are then analyzed in order to generate a numerical vector representative thereof. The numerical vector is multiplied by a matrix defined by the plurality of category vectors. One or more food categories with which to associate the received food item are automatically selected based at least in part on the multiplication, and the data record associated with the food item is amended to include the selected food categories.

Abstract: Methods and systems for performing a hardware acceleration process that includes a hardware offloading engine. The hardware offloading engine includes an interface for communicating with a host device and a hardware accelerator for performing the acceleration process. The hardware accelerator has a processor configured to: receive from the interface a hardware offloading command from the host device, the hardware offloading command including an operation code, an input pointer, a total input size, and a first input size, parse the operation code, the input pointer, the total input size, and the first input size from the hardware offloading command, retrieve input data based on the input pointer and the total input size, separate the input data into a first data stream and a second data stream based on the first input size, and execute an offloaded operation on the first data stream and the second data stream.

Abstract: A method for operating a health tracking system, a health tracking system, and non-transitory computer-readable medium for operating a health tracking system are disclosed. The method comprises receiving a data record comprising at least a descriptive string and nutritional data regarding a consumable item to which the data record corresponds; determining a taste associated to the consumable item based on an evaluation of at least one of: (i) the descriptive string, and (ii) the nutritional data; and associating the determined taste with the data record in a database.

Abstract: A method and system for providing more relevant search results and recommendation from a food database is disclosed. The method includes receiving a query, a first candidate food, and a second candidate food. The method includes generating vectors based on the query and food names of the first and second candidate foods using at least one embedding function of a machine learning model. The method includes determining nutrition content vectors from the nutritional data of the first and second candidate foods. The method includes generating a nutrition content vector based on the query using another embedding function of the machine learning model. The method includes determining which of the first and second candidate food is more relevant to the query based at least in part on the nutrition content vectors. The method includes providing search results or recommendation based on the determined relevance.

Abstract: Methods, systems, and devices for performing an acceleration process by offloading an operation. The system includes a hardware offloading engine that includes a hardware accelerator for performing the acceleration process. The hardware accelerator has a processor configured to receive a hardware offloading command, the hardware offloading command including an operation code, an input pointer, and an output pointer, in which at least one of the input pointer or the output pointer includes a unified data pointer that includes one or more bits of memory for identifying the source location for the input data or the destination location of the output data, parse the operation code, the input pointer, and the output pointer from the hardware offloading command, retrieve the input data based on the input pointer, and execute an offloaded operation on the input data based on the operation code.

Abstract: A method for operating a health tracking system, a health tracking system, and non-transitory computer-readable medium for operating a health tracking system are disclosed. The method comprises receiving a data record comprising at least a descriptive string and nutritional data regarding a consumable item to which the data record corresponds; determining a taste associated to the consumable item based on an evaluation of at least one of: (i) the descriptive string, and (ii) the nutritional data; and associating the determined taste with the data record in a database.

Abstract: A method for accessing blocks of a solid state drive is described. A starting position is received, where the starting position identifies a first block of a contiguous block region within a namespace of the solid state drive. The contiguous block region is to be accessed according to a single input/output operation and the namespace comprises two dimensions of logical address space with respective indices for indexing blocks within a corresponding dimension of the logical address space. A first dimensional identifier that identifies a size of the contiguous block region in a first dimension of the namespace is received. A second dimensional identifier that identifies a size of the contiguous block region in a second dimension of the namespace is received. Blocks of the contiguous block region are accessed in response to the single input/output operation according to the starting position, the first dimensional identifier, and the second dimensional identifier.

Abstract: Apparatus and methods for deriving a dietary plan. In one embodiment, the method comprises enabling a user to enter a long-term dietary goal at a health tracking device; accessing user profile information relating to the user; generating at least one value representative of a short-term dietary goal for the user based at least in part on the long-term dietary goal and the user profile information; dividing the at least one value of the short-term dietary goal among a plurality of dietary portions; and enabling the user to adjust the relative amount of the at least one value apportioned to each of the plurality of dietary portions.

Abstract: System and method for associating user-entered consumable item description to an entry in a consumable item database. In one embodiment, formally structured restaurant menu item is matched to a large database of food items that has been constructed via crowd-sourcing. A novel, practical, and scalable machine learning solution architecture, consisting of two major steps is utilized. First a query generation approach is applied, based on a Markov Decision Process algorithm, to reduce the time complexity of searching for matching candidates. That is then followed by a re-ranking step, using deep learning techniques, to ensure matching quality goals are met.

Abstract: A system and method of providing nutritional data for a user is disclosed herein. The method includes receiving a selected restaurant from a health tracking device, and providing menu data for the user based on the selected restaurant. The method further includes receiving a selected menu item from the health tracking device, associating the selected menu item with a plurality of food items in a database, and providing the plurality of food items for the user. Furthermore, the method includes receiving a selected one of the plurality of food items from the health tracking device, and providing nutritional data based on the selected one of the plurality of food items.

Abstract: Disclosed embodiments include apparatuses, methods and storage media associated with modifying a food record database. The method comprises receiving a plurality of food records from a plurality of sources, each of the plurality of food records comprising at least a food record description, the plurality of sources including (i) at least one non-user entity that is an owner of a third party food database and (ii) users of the food record database. The method further comprises receiving search requests from users, and returning one or more top search results from the food record database in response. The method also comprises determining a score for a particular food record identified by the top search results, wherein the score is calculated based at least in part on one of: a number of times the particular food record has been included in the top search results of the search requests or a number of times the particular food record has been logged.

Abstract: A method for decreasing a number of individual entries in a database of user-created records which describe a single item by: receiving a plurality of user-created records, each of said records comprising at least a descriptive string; placing individual ones of the plurality of user-created records having a sufficiently similar descriptive string into one of a plurality of first groups; hashing the descriptive string of each of the plurality of first groups in order to place two or more groups into a single bin; performing a pair-wise comparison of the descriptive strings of the two or more groups in each bin; and when the comparison of the descriptive strings of the two or more groups in a bin results in a distance below a first threshold, merging the two or more groups into a combined group.

Abstract: A semiconductor device includes a substrate including a peripheral active pattern defined by a device isolation layer, a gate structure on the peripheral active pattern, and a gate spacer covering at least a portion of a side surface of the gate structure. The gate structure includes an insulating pattern structure and a metal pattern structure on the insulating pattern structure. The insulating pattern structure includes a recess having a maximum depth in a first direction parallel to a top surface of the substrate at a first height. The insulating pattern structure includes a first gate insulating pattern and a high-k dielectric layer, which are sequentially stacked on the top surface of the substrate. The gate spacer includes a protrusion inserted in the recess.

Abstract: A method and system for providing more relevant search results and recommendation from a food database is disclosed. The method includes receiving a query, a first candidate food, and a second candidate food. The method includes generating vectors based on the query and food names of the first and second candidate foods using at least one embedding function of a machine learning model. The method includes determining nutrition content vectors from the nutritional data of the first and second candidate foods. The method includes generating a nutrition content vector based on the query using another embedding function of the machine learning model. The method includes determining which of the first and second candidate food is more relevant to the query based at least in part on the nutrition content vectors. The method includes providing search results or recommendation based on the determined relevance.

Abstract: Apparatus and methods for deriving a dietary plan. In one embodiment, the method comprises enabling a user to enter a long-term dietary goal at a health tracking device; accessing user profile information relating to the user; generating at least one value representative of a short-term dietary goal for the user based at least in part on the long-term dietary goal and the user profile information; dividing the at least one value of the short-term dietary goal among a plurality of dietary portions; and enabling the user to adjust the relative amount of the at least one value apportioned to each of the plurality of dietary portions.