Abstract: Described are various embodiments of an ion beam chamber fluid delivery system and method for delivering a fluid onto a substrate in an ion beam system during operation. In one embodiment, the system comprises: a chamber comprising an ion beam gun oriented so as to cause ions to impinge the substrate, said chamber having a fluid delivery conduit therein for delivering the fluid into the chamber; a transferable substrate stage for holding the substrate, the transferable stage further configured to move between an operating position and a payload position during non-operation, said payload position for receiving and removing said substrate; and a fluid delivery nozzle being in a fixed location relative to the transferable stage, at least during operation, with an outlet position that is configured to deliver a fluid to a predetermined location on said transferable stage.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: A query engine, an indexing engine and methods of indexing and querying data. In one embodiment, the present invention provides a query engine for searching data including an artificial intelligence controller configured to select an appropriate combination of fuzzy logic and conventional logic based on query information and employ the combination to compare at least one element of the data with at least a portion of the query information to provide a comparison result.

Abstract: A query engine, an indexing engine and methods of indexing and querying data. In one embodiment, the present invention provides a query engine for searching data including an artificial intelligence controller configured to select an appropriate combination of fuzzy logic and conventional logic based on query information and employ the combination to compare at least one element of the data with at least a portion of the query information to provide a comparison result.

Abstract: A system and method for conducting an electronic auction has one or more carriers submitting one or more price quotes for goods or services in response to a request by a consumer who desires to purchase the goods or services.