Abstract: A computer-implemented method is provided for enabling virtual gameplay. Access is provided to at least one video game in which a player is able to interact with the video game according to a storyline. A player location is detected and stored. A local element is retrieved from a database based on the player location and the local element is correlated to a local element script actuatable in the video game. This local element script is retrieved and actuated in the video game to supplement or replace the video game's storyline.

Abstract: A computer-implemented method is provided for enabling virtual gameplay. Access is provided to at least one video game in which a player is able to interact with the video game according to a storyline. A player location is detected and stored. A local element is retrieved from a database based on the player location and the local element is correlated to a local element script actuatable in the video game. This local element script is retrieved and actuated in the video game to supplement or replace the video game's storyline.

Abstract: A computer-implemented method is provided for enabling virtual gameplay. Access is provided to at least one video game in which a player is able to interact with the video game according to a storyline. A player location is detected and stored. A local element is retrieved from a database based on the player location and the local element is correlated to a local element script actuatable in the video game. This local element script is retrieved and actuated in the video game to supplement or replace the video game's storyline.

Abstract: A computer-implemented method is provided for enabling virtual gameplay. Access is provided to at least one video game in which a player is able to interact with the video game according to a storyline. A player location is detected and stored. A local element is retrieved from a database based on the player location and the local element is correlated to a local element script actuatable in the video game. This local element script is retrieved and actuated in the video game to supplement or replace the video game's storyline.

Abstract: A method is provided for preventing dark data in a data set. At a time t1, a first version of the data set is received. The first version is analyzed and its parameters are gathered in a first statistical profile. The first statistical profile is stored. At a time t2, a second version of the data set is received. The second version is analyzed and its parameters are gathered in a second statistical profile. The second statistical profile is stored. The first and second statistical profiles are compared and a similarity index is created. If the similarity index exceeds a pre-set threshold, dissimilarity is flagged and a responsive action is taken.

Abstract: A computer-implemented method is provided for enabling virtual gameplay. Access is provided to at least one video game in which a player is able to interact with the video game according to a storyline. A player location is detected and stored. A local element is retrieved from a database based on the player location and the local element is correlated to a local element script actuatable in the video game. This local element script is retrieved and actuated in the video game to supplement or replace the video game's storyline.

Abstract: A computer-implemented method is provided for enabling virtual gameplay. Access is provided to at least one video game in which a player is able to interact with the video game according to a storyline. A player location is detected and stored. A local element is retrieved from a database based on the player location and the local element is correlated to a local element script actuatable in the video game. This local element script is retrieved and actuated in the video game to supplement or replace the video game's storyline.

Abstract: A spice dispensing device is provided for an automatic meal preparation apparatus. The device uses a replaceable cartridge containing a volume of spice for dispensing in predetermined volumetric doses. A dispensing mechanism is built in to the cartridge for isolating the predetermined volumetric dose and moving it toward an opening in the bottom of the cartridge. The cartridge is sized and shaped to be placed into the automatic meal preparation apparatus in a rack for containing a plurality of such cartridges. The cartridge is alignable with a position in the rack in which the spice dose can be dispensed directly into a cooking vessel of the apparatus.

Abstract: A method is provided for preventing dark data in a data set. At a time t1, a first version of the data set is received. The first version is analyzed and its parameters are gathered in a first statistical profile. The first statistical profile is stored. At a time t2, a second version of the data set is received. The second version is analyzed and its parameters are gathered in a second statistical profile. The second statistical profile is stored. The first and second statistical profiles are compared and a similarity index is created. If the similarity index exceeds a pre-set threshold, dissimilarity is flagged and a responsive action is taken.

Abstract: A stent system is provided for stenting a bifurcated vessel structure having a parent vessel and a daughter vessel. The stent system has a parent vessel stent and a daughter vessel stent. The parent vessel stent has a substantially tubular body that is configured to be deployed into the parent vessel. This body has an angular flap that is openable to extend into the daughter vessel. The daughter vessel stent has a substantially tubular body that is configured to be deployed through the flap in the parent vessel stent into the daughter vessel. The daughter vessel stent has an angled tail portion that is configured to overlap with the flap of the parent vessel stent when both stents are deployed in the vessel structure. A method of stenting using this system is also provided.

Abstract: An automatic meal preparation apparatus is provided which has a top section with compartments for raw food and at least one spice/sauce cartridge; a middle section with a cooking vessel; and a bottom section with a heating element. The sections are stacked in series within a housing. The compartments of the top section are disposed above the cooking vessel. The cooking vessel is in communication with the heating element. A controller receives a selection of a recipe from a user, and executes instructions of the recipe to selectively heat the heating element at certain times, and selectively dispense at least a portion of the raw food and a pre-determined measure of spice/sauce. The apparatus stirs and cooks the food and the spice/sauce in the vessel for a specified duration, in accordance with the recipe.

Abstract: A computer-implemented system is provided for automatic training of an artificial intelligence (AI) asset. A preprocessing engine is provided for receiving an AI asset by upload and preprocessing the AI asset for training by: associating a set of definition parameters and training criteria with the AI asset; analyzing the training criteria to set a specification for training steps and process; and determining a quotation for the training having regard to known factors associated with the definition parameters and the training specification. A transaction engine is provided for presenting the quotation, receiving an approval of the quotation and a means of payment. A training engine is provided for training the AI asset according to the specification and releasing the AI asset after training.

Abstract: A method is provided for grading an artificial intelligence (AI) asset. After an AI asset is received for transaction, its performance is evaluated on a specialized task and a baseline of performance is established based on an evaluated state of the AI asset. The AI asset is then graded based on the evaluated performance in a task-environment. A value is ascribed to the AI asset. The AI asset is made available for transaction on an AI asset exchange. A related method is also provided where a second evaluation and grading are performed after the AI asset is trained.

Abstract: A computer-implemented system is provided for exchange of artificial intelligence (AI) assets through an AI asset exchange. The system includes a preprocessing engine programmed for receiving an AI asset by upload and preprocessing the AI asset for transaction by: anonymizing an owner/transactor of the AI asset; associating a set of identification and description parameters with the AI asset; associating a set of transaction terms with the AI asset; and associating a set of use terms with the AI asset. The system also includes a listing engine programmed for listing the preprocessed AI asset according to the identification and description parameters. The system also includes a transaction engine programmed for mediating a transaction of the AI asset according to the transaction terms. A method of preparing an artificial intelligence (AI) asset for transaction is also provided.

Abstract: A method is provided for chat orchestrated visualization. In response to a substantive user communication received in the chat session, the system decomposes the terms of the communication into components. From at least one of the components, an intent of the communication is determined and a search is formulated with the intent which is searched in a plurality of data sources to obtain raw search results which are stored in a cache. Natural language understanding (NLU), natural language generation (NLG) or generative neural nets (GNN) may be used to generate a short text response to the user communication, and related web content is synthesized in text and other forms. The short response is displayed in the chat session while the synthesized web content is injected and displayed in a passive window, such that the chat session and the web content are displayed in different portions of the same screen.

Abstract: A method is provided for generating automated responses to customer questions. Terms of a customer question are received, which are then decomposed into components of the question. An intent is determined from at least one of the components. A query is formulated with the intent. The query is searched in a plurality of data sources to obtain raw search results. These raw search results are compared, and those results proximate to the intent are selected. After redundant and non-informative results are removed, these proximate search results are stored in a cache. The cache is further analyzed/processed to eliminate redundant parts. At least one of natural language understanding (NLU), natural language generation (NLG) or generative neural nets (GNN) is applied to the remaining text in the cache to generate a natural language answer to the customer question.

Abstract: A method is provided for prioritizing rule creation for computer-assisted customer care. When a question from a user of a device is received by a customer care analytics engine for which no rule is automatically fired, the question and a related device profile of the device are added to an unfired questions list. The analytics engine parses the question to match terms in other questions in the list. The question is also added to an appropriate category in the list based on the device profile. A prioritization algorithm is used to rank the question among other questions within the list or the category, ranking the question more highly according to the frequency of those terms in the category or the list. According to its rank-wise order, the question is directed for creation of a rule to permit automatic handling of questions having the same or similar terms in the future.

Abstract: A method is provided for markerless injection of content into an augmented reality scene by use of a mobile device. Through the mobile device, a camera feed of a scene is acquired, which includes a flat surface. A key frame of the flat surface is selected from the feed. After determining that the flat surface in the key frame meets a predetermined level of feature richness, digital content is injected by superimposing text, graphics, video content over at least a part of the key frame. The digital content can be viewed and interacted with by the user of the mobile device. In one embodiment, the digital content is an advertisement.

Abstract: A method is provided for determining a reference device profile. Device profiles are gathered from a plurality of devices having at least one characteristic in common. Each device profile has a plurality of parameter values. The device profiles are compared according to at least one device health metric. Parameter values associated with an optimum value of the device health metric are identified. Using these identified parameter values, a reference device profile is compiled. A method is also provided for enabling a target device to be conformed with a reference device profile.

Abstract: A method is provided for markerless injection of content into an augmented reality scene by use of a mobile device. Through the mobile device, a camera feed of a scene is acquired, which includes a flat surface. A key frame of the flat surface is selected from the feed. After determining that the flat surface in the key frame meets a predetermined level of feature richness, digital content is injected by superimposing text, graphics, video content over at least a part of the key frame. The digital content can be viewed and interacted with by the user of the mobile device. In one embodiment, the digital content is an advertisement.