Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving a source document, applying one or more pre-processes to the source document to produce contextual information representative of the structure and content of the source document, and transforming the source document, based on the contextual information, to generate a question-and-answer searchable document.

Abstract: Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes obtaining a query set (e.g., a universal set of questions), performing a question-and-answer (Q-A) search on one or more documents using the query set to produce answer data responsive to one or more questions included in the query set, with the answer data characterizing concepts associated with the one or more documents, and deriving structured output information for the one or more documents based on the answer data produced in response to performing the Q-A search.

Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving a source document, applying one or more pre-processes to the source document to produce contextual information representative of the structure and content of the source document, and transforming the source document, based on the contextual information, to generate a question-and-answer searchable document.

Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document, and determining whether one or more pre-determined questions stored in a question-answer cache maintained at the local device matches the query data according to one or more matching criteria. The method further includes obtaining from the question-answer cache, in response to a determination that at least one of the pre-determined questions matches the query data received from the remote device, at least one answer data item, associated with at least one pre-determined question, corresponding to an answer to the question relating to the source content.

Abstract: This invention relates to a burner (1) for burning a suspension of solid fuel in oxygen containing gas. A portion of the suspension is passed through a first conduit (10) which contains a bluff body (12) and helical vanes to impart turbulence and swirl to the suspension. A further portion of the suspension is passed through a second conduit (40) which is coaxial with the first conduit. Means for varying the relative sizes of each portion are provided. The arrangement allows improved fuel/air mixing, flame shape, heat transfer and control of NOx emissions.

Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document of a repository of a plurality of source documents, with the source content being associated with transformed content accessible from the local device. The method further includes generating, in response to determination, at the local device, of a match between the query data and at least one portion of the transformed content, output data comprising one or more of a pointer to access, in the source document accessible from the remote device, at least one portion of the source document corresponding to the at least one portion of the transformed content, or a copy of the at least one portion of the source document.

Abstract: Disclosed are implementations that include a method including obtaining at a local device, a question-and-answer data item representative of a question-and-answer pair relating to source content of a source document, with the question-and-answer data item being associated with question-and-answer history information representative of historical information and access information for the question-and-answer data item, and determining based on the question-and-answer history information whether to perform data refinement operations on the question-and-answer data item.

Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document, and determining whether one or more pre-determined questions stored in a question-answer cache maintained at the local device matches the query data according to one or more matching criteria. The method further includes obtaining from the question-answer cache, in response to a determination that at least one of the pre-determined questions matches the query data received from the remote device, at least one answer data item, associated with at least one pre-determined question, corresponding to an answer to the question relating to the source content.

Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving a source document, applying one or more pre-processes to the source document to produce contextual information representative of the structure and content of the source document, and transforming the source document, based on the contextual information, to generate a question-and-answer searchable document.

Abstract: Systems and methods for training a neural network to optimize network performance, including sampling an applied dropout rate for one or more nodes of the network to evaluate a current generalization performance of one or more training models. An optimized annealing schedule may be generated based on the sampling, wherein the optimized annealing schedule includes an altered dropout rate configured to improve a generalization performance of the network. A number of nodes of the network may be adjusted in accordance with a dropout rate specified in the optimized annealing schedule. The steps may then be iterated until the generalization performance of the network is maximized.

Abstract: Systems and methods for training a neural network to optimize network performance, including sampling an applied dropout rate for one or more nodes of the network to evaluate a current generalization performance of one or more training models. An optimized annealing schedule may be generated based on the sampling, wherein the optimized annealing schedule includes an altered dropout rate configured to improve a generalization performance of the network. A number of nodes of the network may be adjusted in accordance with a dropout rate specified in the optimized annealing schedule. The steps may then be iterated until the generalization performance of the network is maximized.

Abstract: According to some aspects, a method of classifying speech recognition results is provided, using a neural network comprising a plurality of interconnected network units, each network unit having one or more weight values, the method comprising using at least one computer, performing acts of providing a first vector as input to a first network layer comprising one or more network units of the neural network, transforming, by a first network unit of the one or more network units, the input vector to produce a plurality of values, the transformation being based at least in part on a plurality of weight values of the first network unit, sorting the plurality of values to produce a sorted plurality of values, and providing the sorted plurality of values as input to a second network layer of the neural network.

Abstract: This invention relates to a burner (1) for burning a suspension of solid fuel in oxygen containing gas. A portion of the suspension is passed through a first conduit (10) which contains a bluff body (12) and helical vanes to impart turbulence and swirl to the suspension. A further portion of the suspension is passed through a second conduit (40) which is coaxial with the first conduit. Means for varying the relative sizes of each portion are provided. The arrangement allows improved fuel/air mixing, flame shape, heat transfer and control of NOx emissions.

Abstract: According to some aspects, a method of classifying speech recognition results is provided, using a neural network comprising a plurality of interconnected network units, each network unit having one or more weight values, the method comprising using at least one computer, performing acts of providing a first vector as input to a first network layer comprising one or more network units of the neural network, transforming, by a first network unit of the one or more network units, the input vector to produce a plurality of values, the transformation being based at least in part on a plurality of weight values of the first network unit, sorting the plurality of values to produce a sorted plurality of values, and providing the sorted plurality of values as input to a second network layer of the neural network.

Abstract: Systems and methods for training a neural network to optimize network performance, including sampling an applied dropout rate for one or more nodes of the network to evaluate a current generalization performance of one or more training models. An optimized annealing schedule may be generated based on the sampling, wherein the optimized annealing schedule includes an altered dropout rate configured to improve a generalization performance of the network. A number of nodes of the network may be adjusted in accordance with a dropout rate specified in the optimized annealing schedule. The steps may then be iterated until the generalization performance of the network is maximized.

Abstract: Systems and methods for training a neural network to optimize network performance, including sampling an applied dropout rate for one or more nodes of the network to evaluate a current generalization performance of one or more training models. An optimized annealing schedule may be generated based on the sampling, wherein the optimized annealing schedule includes an altered dropout rate configured to improve a generalization performance of the network. A number of nodes of the network may be adjusted in accordance with a dropout rate specified in the optimized annealing schedule. The steps may then be iterated until the generalization performance of the network is maximized.

Abstract: A system includes a rejection module in a phone configured to receive calls over a network and a remote rejection announcement server (RAS) configured to receive calls over the network. The rejection module is configured to generate at least a portion of an incoming call user interface (UI) on the phone. The UI indicates incoming call signalling, associated with an incoming call from a caller, over a call signalling path in the network. One or more rejection options is provided for selection by a caller. Rejection reason data is generated based on selecting one of the rejection options. The rejection reason data is sent using a rejection reason path separate from the call signalling path. The remote RAS is configured to receive the incoming call from the caller, receive the rejection reason data over the rejection reason path, and generate an audio/video message based on the rejection reason data.

Abstract: A solid-state imaging device includes a light-receiving portion, an optical filter layer, and quantum dots. The light receiving portion, where a photoelectric conversion is carried out, is formed in a semiconductor substrate. The optical filter layer is directly formed on or formed through another layer on the surface of the semiconductor substrate in which the light-receiving portion is formed. Quantum dots having substantially equal diameters are formed in the optical filter layer. The quantum dots have higher refractive indexes than the refractive index of the optical filter layer in which the quantum dots are embedded.

Abstract: A system includes a rejection module in a phone configured to receive calls over a network and a remote rejection announcement server (RAS) configured to receive calls over the network. The rejection module is configured to generate at least a portion of an incoming call user interface (UI) on the phone. The UI indicates incoming call signalling, associated with an incoming call from a caller, over a call signalling path in the network. One or more rejection options is provided for selection by a caller. Rejection reason data is generated based on selecting one of the rejection options. The rejection reason data is sent using a rejection reason path separate from the call signalling path. The remote RAS is configured to receive the incoming call from the caller, receive the rejection reason data over the rejection reason path, and generate an audio/video message based on the rejection reason data.

Abstract: The present invention is intended to provide a semiconductor optoelectric device with high luminescent efficiency and a method of manufacturing the same. The semiconductor optoelectric device 18 according to the present invention is constructed by depositing compound-semiconductor layers 13 and 14 on a monocrystalline substrate 11 of a hexagonal close-packed structure. The shape of the monocrystalline substrate 11 is a parallelogram. Individual sides of the parallelogram are parallel to a <11-20> orientation. As the monocrystalline substrate, sapphire, zinc oxide or silicon carbide may be used. As the compound-semiconductor layers, an n-type GaN layer 13 and p-type GaN layer 14 may be used.