Abstract: Systems, methods, and apparatuses for storing and/or shipping an intraocular lens (IOL) cartridge are provided. A system comprises a packaging comprising a passage. The IOL cartridge is removably disposed within the passage. The IOL cartridge comprises a nozzle and a compartment configured to receive an IOL. The nozzle is in fluid communication with the compartment. The IOL cartridge further comprises a dial configured to rotate upon withdrawal of the IOL cartridge from the passage, wherein an inner surface of the dial is exposed to the compartment. The dial is configured to fold the IOL and release the IOL cartridge from the packaging upon rotation of the dial.

Abstract: Implementations described and claimed herein include a system including a grid of plurality of projected capacitance (PCAP) sensors, wherein each of the plurality of PCAP sensors is configured to generate time-series of heat data related to a pixel on the grid, a pre-processing module configured to receive a vector of heat map data and remove noise from the heat data, a contour detection module configured to detect contours of one or more objects, and a feature extraction module configured to extract one or more features from the contours of one or more objects and to generate an input vector for a machine learning model, wherein the machine learning model is configured to identify the one or more objects.

Abstract: Systems, methods, and apparatuses for storing and/or shipping an intraocular lens (IOL) cartridge are provided. A system comprises the IOL cartridge. The IOL cartridge comprises a nozzle and a compartment comprising an IOL. The nozzle is in fluid communication with the compartment. The IOL cartridge further comprises a dial disposed adjacent to the compartment, wherein an inner surface of the dial is exposed to the compartment. The dial is configured to fold the IOL upon rotation of the dial. The IOL cartridge further comprises a plunger case in fluid communication with the compartment, wherein a plunger is movably disposed within the plunger case. The IOL cartridge is configured to removably attach to a handpiece.

Abstract: Systems, methods, and apparatuses for storing and/or shipping an intraocular lens (IOL) cartridge are provided. A system comprises a packaging comprising a passage. The IOL cartridge is removably disposed within the passage. The IOL cartridge comprises a nozzle and a compartment configured to receive an IOL. The nozzle is in fluid communication with the compartment. The IOL cartridge further comprises a dial configured to rotate upon withdrawal of the IOL cartridge from the passage, wherein an inner surface of the dial is exposed to the compartment. The dial is configured to fold the IOL and release the IOL cartridge from the packaging upon rotation of the dial.

Abstract: This invention allows the semi-automated creation and curation of a knowledge graph based on a query-atom IR ranking engine. This invention cooperates with a domain expert to smoothly and semi-automatically incorporate or restructure textual data in the knowledge graph when a suitable high-confidence response to a query cannot be found. The invention extends the conventional information retrieval approach to consumer interaction by building a structured knowledge graph. Using graph exploration the invention augments the ranking made by the underlying neural model in order to stay in sync with the constantly-changing domain of application. The ultimate goal of this invention is to allow the consistent, cognitive, consumer-driven incorporation and restructuring of relevant unstructured data in a knowledge graph which is generated by mimicking users behaviours.

Abstract: A method and system are disclosed for a novel architecture in which competing suggestions, possibly generated by competing systems, are selected by a Cognitive Unit (CU). The CU observes the user context and learns which contextual circumstances affect the user's cognitive behaviour. Majority of the traditional models trained over multiple users fail to represent the individual because (1) they ignore personal bias toward certain decisions and (2) they don't have complete visibility of all options available to users (i.e. from competitive systems). The invention is ideally suited to interact with several other products as more and more modern products are using AIs to drive the user experience. That shifts traditional HCI towards a novel form of interaction that we call human-AI interaction (HAII). When applied to user experience, predictive models make decisions on users' behalf attempting to minimise user interaction while guiding them toward the completion of predefined funnels.

Abstract: Embodiments of the present invention are directed to a computer-implemented machine-learning method and system for automatically creating and updating tasks by reading signals from external data sources and understanding what users are doing. Embodiments of the present invention are directed to a computer-implemented machine-learning method and system for automatically completing tasks by reading signals from external sources and understanding when an existing task has been executed. Tasks created are representable and explainable in a human readable format that can be shown to users and used to automatically fill productivity applications including but not limited to task managers, to-do lists, project management, time trackers, and daily planners. Tasks created are representable in a way that can be interpreted by a machine such as a computer system or an artificial intelligence so that external systems can be delegated or connected to the system.

Abstract: A computer-implemented machine-learning method and system for searching for resources by predicting an intention and pushing resources directly to users based on the predicted intention. The method includes receiving a description of a context; generating a set of weighted expressions, each weighed expression comprising a restriction over the description of the context and a confidence factor resulting between the combination of the user model and of the query input; and generating a sorted list of resources matching the weighted list of expressions. The system includes computer instructions for an intention inference engine and an intelligent ranking engine.

Abstract: Embodiments of the present invention are directed to computer-implemented methods and systems for representing human or machine-controllable sources, including, but not limited to, cloud services and smart devices, with a Semantic Interface Definition Language (SIDL) so that such resources can be listened to and eventually remote-controlled by discovering and performing Situationally Suitable Actions (SSA). Embodiments of the present invention are further directed to a novel user experience that allows sources to augment each other, removing the need to switch back and forth from different user interfaces (UIs) and overall facilitating or automating the execution of chains of commands.

Abstract: A method and system to generate vectors that represent linearly progressing entities like time are disclosed. Traditional methods of vectorisation account for semantic or associative similarity of the entities. Thus, vectors conveying semantic information do not convey structural relations between such entities. The method allows for the representation of such structural information, for example the months in a year. The vectors generated by the invention encode this relation between the months such that one can interpret the sequence of the months, the difference between then and their cyclic nature. The method works in a manner similar to a genetic code, where subsequent “child” vectors are generated by related “parents”, thus encoding the similarity and the distance of the sequential entities. An object of the inventions to allow algorithms in machine learning to easily learn over temporal entities its natural text.

Abstract: Described herein is an apparatus and method to convey an object through the air in a controlled and repeatable manner. The apparatus may comprise an object attached to at least one resilient member, the resilient member or members constraining object movement in a substantially vertical y-axis direction. The apparatus may also comprise at least one support member coupled to the at least one resilient member, and the support member or members constrain object movement in a substantially horizontal x-axis direction. In use, the resilient member is energised, movement initiated, and object movement then occurs in an x-axis and a y-axis direction, the movement path substantially governed by the resilient member(s) and the support member(s). The apparatus and method may allow the object to experience a variety of movement sensations, one being the feeling of flight or gliding.

Abstract: Described herein is an apparatus and method to convey an object through the air in a controlled and repeatable manner. The apparatus may comprise an object attached to at least one resilient member, the resilient member or members constraining object movement in a substantially vertical y-axis direction. The apparatus may also comprise at least one support member coupled to the at least one resilient member, and the support member or members constrain object movement in a substantially horizontal x-axis direction. In use, the resilient member is energised, movement initiated, and object movement then occurs in an x-axis and a y-axis direction, the movement path substantially governed by the resilient member(s) and the support member(s). The apparatus and method may allow the object to experience a variety of movement sensations, one being the feeling of flight or gliding.

Abstract: A method and system to generate vectors that represent linearly progressing entities like time are disclosed. Traditional methods of vectorisation account for semantic or associative similarity of the entities. Thus, vectors conveying semantic information do not convey structural relations between such entities. The method allows for the representation of such structural information, for example the months in a year. The vectors generated by the invention encode this relation between the months such that one can interpret the sequence of the months, the difference between then and their cyclic nature. The method works in a manner similar to a genetic code, where subsequent “child” vectors are generated by related “parents”, thus encoding the similarity and the distance of the sequential entities. An object of the inventions to allow algorithms in machine learning to easily learn over temporal entities its natural text.

Abstract: A method and system are disclosed for a novel architecture in which competing suggestions, possibly generated by competing systems, are selected by a Cognitive Unit (CU). The CU observes the user context and learns which contextual circumstances affect the user's cognitive behaviour. Majority of the traditional models trained over multiple users fail to represent the individual because (1) they ignore personal bias toward certain decisions and (2) they don't have complete visibility of all options available to users (i.e. from competitive systems). The invention is ideally suited to interact with several other products as more and more modern products are using AIs to drive the user experience. That shifts traditional HCI towards a novel form of interaction that we call human-AI interaction (HAII). When applied to user experience, predictive models make decisions on users' behalf attempting to minimise user interaction while guiding them toward the completion of predefined funnels.

Abstract: Described herein is an apparatus and method to convey an object through the air in a controlled and repeatable manner. The apparatus may comprise an object attached to at least one resilient member, the resilient member or members constraining object movement in a substantially vertical y-axis direction. The apparatus may also comprise at least one support member coupled to the at least one resilient member, and the support member or members constrain object movement in a substantially horizontal x-axis direction. In use, the resilient member is energized, movement initiated, and object movement then occurs in both an x-axis and y-axis direction, the movement path substantially governed by the resilient member(s) and the support member(s). The apparatus and method may allow the object to experience a variety of movement sensations, one being the feeling of flight or gliding.

Abstract: Embodiments of the present invention are directed to computer-implemented methods and systems for automatically generating a description of a task or expectation. The method comprises receiving, in the form of an electronic communication, a natural language sentence that expresses a call or commitment to action; generating, using a machine learning model, a description of a task or expectation for a user based on the natural language sentence; and storing the description of the task or expectation in a non-transitory computer-readable memory.

Abstract: Embodiments of the present invention are directed to computer-implemented methods and systems for representing human or machine-controllable sources, including, but not limited to, cloud services and smart devices, with a Semantic Interface Definition Language (SIDL) so that such resources can be listened to and eventually remote-controlled by discovering and performing Situationally Suitable Actions (SSA). Embodiments of the present invention are further directed to a novel user experience that allows sources to augment each other, removing the need to switch back and forth from different user interfaces (UIs) and overall facilitating or automating the execution of chains of commands.

Abstract: Embodiments of the present invention are directed to a computer-implemented machine-learning method and system for automatically creating and updating tasks by reading signals from external data sources and understanding what users are doing. Embodiments of the present invention are directed to a computer-implemented machine-learning method and system for automatically completing tasks by reading signals from external sources and understanding when an existing task has been executed. Tasks created are representable and explainable in a human readable format that can be shown to users and used to automatically fill productivity applications including but not limited to task managers, to-do lists, project management, time trackers, and daily planners. Tasks created are representable in a way that can be interpreted by a machine such as a computer system or an artificial intelligence so that external systems can be delegated or connected to the system.

Abstract: Described herein is an apparatus and method to convey an object through the air in a controlled and repeatable manner. The apparatus may comprise an object attached to at least one resilient member, the resilient member or members constraining object movement in a substantially vertical y-axis direction. The apparatus may also comprise at least one support member coupled to the at least one resilient member, and the support member or members constrain object movement in a substantially horizontal x-axis direction. In use, the resilient member is energised, movement initiated, and object movement then occurs in both an x-axis and y-axis direction, the movement path substantially governed by the resilient member(s) and the support member(s). The apparatus and method may allow the object to experience a variety of movement sensations, one being the feeling of flight or gliding.

Abstract: A computer-implemented machine-learning method and system for searching for resources by predicting an intention and pushing resources directly to users based on the predicted intention. The method includes receiving a description of a context; generating a set of weighted expressions, each weighed expression comprising a restriction over the description of the context and a confidence factor resulting between the combination of the user model and of the query input; and generating a sorted list of resources matching the weighted list of expressions. The system includes computer instructions for an intention inference engine and an intelligent ranking engine.