Abstract: Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Abstract: A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.

Abstract: Embodiments of the present systems and methods may provide techniques for synthesizing speech in any voice in any language in any accent. For example, in an embodiment, a text-to-speech conversion system may comprise a text converter adapted to convert input text to at least one phoneme selected from a plurality of phonemes stored in memory, a machine-learning model storing voice patterns for a plurality of individuals and adapted to receive the at least one phoneme and an identity of a speaker and to generate acoustic features for each phoneme, and a decoder adapted to receive the generated acoustic features and to generate a speech signal simulating a voice of the identified speaker in a language.

Abstract: A digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from a user's social media account or her or his community members' social media accounts. The integrated camera is used to automatically determine an identity of a frame viewer, and a viewer profile automatically determined from the identity of the viewer. The displayed photos are automatically shown and/or changed according to the detected viewers.

Abstract: Technologies are described for retrieving documents using image representations in the documents and is based on intra-image features. The identification of elements within an image representation can allow for deeper understanding of the image representation and for better relating image representations based on their intra-image features. The intra-image features present in image representations can be used in searches. Search results can further be reranked to improve search results. For example, reranking can allow search results to conform to intra-image dominant image features.

Abstract: A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.

Abstract: A method in a data processing system and apparatus for organizing files, data items, web site members, or web pages, structured or unstructured, of multiple users stored across one or more server computers into hierarchical file structures on a recordable medium of a data processing system. A user-defined metalabel is assigned to each of the electronic files, data items, web site members, or web pages that are organized as a function of the metalabels into the hierarchical file structures. The method includes automatically weighting of individual metalabels as a function of a relevance of the at least one searchable term found in the corresponding one of the electronic files, data items, web site members, or web pages. Searching the plurality of hierarchical structures can then be done with a query including at least one term and a relevance threshold returning the matched data.

Abstract: A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display.

Abstract: A method and apparatus for displaying digital photos on a digital display with a network connection module. The method includes identifying two different photos in a digital photo collection that include a matching photo content, and displaying the two different photos simultaneously in a split screen on the digital display. The two different photos can be matched from related photo clusters. An integrated camera can be used to automatically determine an identity of a frame viewer to determine photos to display, and can capture gesture-based feedback. The photos can be filtered and cropped at the receiver side.

Abstract: A method and system for merging healthcare records across multiple locations is presented. The method first creates anonymized healthcare records by removing personally identifiable information. The method then converts each record into an embedding and appends a site locator identifying only the originator of the healthcare record. Then these embeddings are combined with similarly processed embeddings from multiple sites to create a merged database of embeddings derived from patient healthcare records. A classifier is trained to predict likely outcomes based on the merged database of embeddings. For a new patient, the corresponding healthcare record is converted to an embedding and the merged database of embeddings is then searched for a most similar patient and a treatment is recommended for the new patient, based on the prediction of the classifier.

Abstract: Technologies are described for reconstructing physical objects which are preserved or represented in pictorial records. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing physical models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of the object to be described. The one or more feature vector representations of the object can be used individually or in combination with other descriptors for retrieval and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.

Abstract: A method and system are described for improving the speed and efficiency of obtaining conversational search results. A user may speak a phrase to perform a conversational search or a series of phrases to perform a series of searches. These spoken phrases may be enriched by context and then converted into a query embedding. A similarity between the query embedding and document embeddings is used to determine the search results including a query cutoff number of documents and a cache cutoff number of documents. A second search phrase may use the cache of documents along with comparisons of the returned documents and the first query embedding to determine the quality of the cache for responding to the second search query. If the results are high-quality then the search may proceed much more rapidly by applying the second query only to the cached documents rather than to the server.

Abstract: A digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from a user's social media account or her or his community members' social media accounts. The integrated camera is used to automatically determine an identity of a frame viewer, and a viewer profile automatically determined from the identity of the viewer. The displayed photos are automatically shown and/or changed according to the detected viewers.

Abstract: A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: A method and apparatus for displaying digital photos on a digital display with a network connection module. The method includes identifying two different photos in a digital photo collection that include a matching photo content, and displaying the two different photos simultaneously in a split screen on the digital display. The two different photos can be matched from related photo clusters. An integrated camera can be used to automatically determine an identity of a frame viewer to determine photos to display, and can capture gesture-based feedback. The photos can be filtered and cropped at the receiver side.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: Technologies are described for reconstructing facial models which are preserved images or images captured from security cameras. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing facial models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of a face to be described. The one or more feature vector representations of a target face can be used individually or in combination with other descriptors for recognition, retrieval, and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.