Abstract: One embodiment provides a method and a system for automated design of a physical system. During operation, the design system obtains qualitative and quantitative design requirements associated with the physical system and inputs the qualitative design requirements to a trained machine-learning model to generate a topology of the physical system. The topology specifies a number of components and connections among the components. The design system then determines parameters of the components based on the quantitative design requirements.

Abstract: Quantum field-programmable analog arrays (FPAAs) may be useful in solving differential equations. For example, a quantum FPAA may comprise: an array of computational analog blocks (CABs) configured to perform a mathematical operation; and an interconnection network connecting the CABs, the interconnection network comprising communication paths and switches. Said quantum FPAAs may be useful in integrated chips, computing systems, and related methods.

Abstract: One or more documents are received. Each document of the one or more documents is partitioned into segments using stylistic cues from a textual format of each document. Each of the segments is mapped to a respective embedding based on one or more language models. A dependency graph is computed based on the embeddings. A rooted, ordered tree is produced based on the dependency graph. The rooted, ordered tree represents a hierarchical structure of each document.

Abstract: A system and method for reasoning about concepts, relations and rules having a semantic network comprising at least one node from a predetermined set of node types, at least one link from a predetermined set of link types, and zero or more rules from a predetermined set of rule types, a subset of the rule types being matching rule types, each node and each link being associated with a set of zero or more rules; a network reasoning data structure having a reasoning type database having at least one regular expression, each of the regular expressions being a class of sequences having at least three node types and two link types, wherein the network reasoning data structure further has a context being a set of rules; and a reasoning engine having an activator for activating one or more activated paths in the semantic network, the set of activated paths having a common starting node in the semantic network, wherein the reasoning engine further has a validator for selecting a subset of the activated paths being va

Abstract: A system and method for reasoning about concepts, relations and rules having a semantic network comprising at least one node from a predetermined set of node types, at least one link from a predetermined set of link types, and zero or more rules from a predetermined set of rule types, a subset of the rule types being matching rule types, each node and each link being associated with a set of zero or more rules; a network reasoning data structure having a reasoning type database having at least one regular expression, each of the regular expressions being a class of sequences having at least three node types and two link types, wherein the network reasoning data structure further has a context being a set of rules; and a reasoning engine having an activator for activating one or more activated paths in the semantic network, the set of activated paths having a common starting node in the semantic network, wherein the reasoning engine further has a validator for selecting a subset of the activated paths being va

Abstract: A system and method for reasoning about concepts, relations and rules having a semantic network comprising at least one node from a predetermined set of node types, at least one link from a predetermined set of link types, and zero or more rules from a predetermined set of rule types, a subset of the rule types being matching rule types, each node and each link being associated with a set of zero or more rules; a network reasoning data structure having a reasoning type database having at least one regular expression, each of the regular expressions being a class of sequences having at least three node types and two link types, wherein the network reasoning data structure further has a context being a set of rules; and a reasoning engine having an activator for activating one or more activated paths in the semantic network, the set of activated paths having a common starting node in the semantic network, wherein the reasoning engine further has a validator for selecting a subset of the activated paths being va

Abstract: A computer system and method computes conversion rates for individual products and/or product categories in an e-commerce Web site for measuring the effectiveness of the marketing in the Web site, and to associate the conversion rates with metadata information about products and/or product categories on served Web pages. An aggregation process traverses the log to determine the number of one or more of the shopping activities by requesters in the Web site, to compare two or more of the activity numbers in a conversion rate, and to relate the conversion rate to one or more of the metadata fields. The conversion rates give a measure of the effectiveness of the Web site and/or portions of the Web site for sales, marketing and merchandising.

Abstract: A system and method for reasoning about concepts, relations and rules having a semantic network comprising at least one node from a predetermined set of node types, at least one link from a predetermined set of link types, and zero or more rules from a predetermined set of rule types, a subset of the rule types being matching rule types, each node and each link being associated with a set of zero or more rules; a network reasoning data structure having a reasoning type database having at least one regular expression, each of the regular expressions being a class of sequences having at least three node types and two link types, wherein the network reasoning data structure further has a context being a set of rules; and a reasoning engine having an activator for activating one or more activated paths in the semantic network, the set of activated paths having a common starting node in the semantic network, wherein the reasoning engine further has a validator for selecting a subset of the activated paths being va

Abstract: A server system on a network such as the World Wide Web aggregates and stores information about the content of Web pages served by a server on a network. A server process receives one or more requests for Web pages from requesters connected to the network. Upon receiving the request, the server produces a requested Web page and serves the Web page to the requester. The Web pages have with one or more content elements in addition to one or more metadata entries. The metadata entries are associated with the content elements of the respective Web page produced. The system also creates and maintains a log having a plurality of records. Each record has requester fields and metadata fields. A logger process stores the metadata entries contained in each of the Web pages in one or more of the metadata fields, and stores a requester identification, associated with the requester, in the requester field of the record associated with the respective Web page.

Abstract: A server system on a network such as the World Wide Web aggregates and stores information about the content of Web pages served by a server on a network. A server process receives one or more requests for Web pages from requesters connected to the network. Upon receiving the request, the server produces a requested Web page and serves the Web page to the requester. The Web pages have with one or more content elements in addition to one or more metadata entries. The metadata entries are associated with the content elements of the respective Web page produced. The system also creates and maintains a log having a plurality of records. Each record has requester fields and metadata fields. A logger process stores the metadata entries contained in each of the Web pages in one or more of the metadata fields, and stores a requester identification, associated with the requester, in the requester field of the record associated with the respective Web page.

Abstract: A computer system and method computes conversion rates for individual products and/or product categories in an e-commerce Web site for measuring the effectiveness of the marketing in the Web site, and to associate the conversion rates with metadata information about products and/or product categories on served Web pages. An aggregation process traverses the log to determine the number of one or more of the shopping activities by requesters in the Web site, to compare two or more of the activity numbers in a conversion rate, and to relate the conversion rate to one or more of the metadata fields. The conversion rates give a measure of the effectiveness of the Web site and/or portions of the Web site for sales, marketing and merchandising.

Abstract: A server system on a network such as the World Wide Web aggregates and stores information about the content of one or more Web pages served by a server on a network. A server process receives one or more requests for one or more Web pages from one or more requesters connected to the network. Upon receiving the request, the server produces a requested Web page and serves the Web page to the requester. The Web pages have with one or more content elements in addition to one or more metadata entries. One or more of the metadata entries are associated with the content elements of the respective Web page produced. The system also creates and maintains a log having a plurality of records. Each record has one or more requester fields and one or more metadata fields.

Abstract: A new data structure describes an inheritance network with exceptions, augmented with rules attached to nodes in the network, a background context of rules and information, and an optional prioritization of links in the network. A process that determines which rules apply to classes (nodes) in the taxonomy exploits the structure of the network, in particular specificity and path prioritization, to get preferred maximally consistent subsets of rules that apply at specified nodes.