Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A system, method, and computer readable device that detects hidden correlation relationships among entities, such as companies and/or individuals is presented. A dataset that corresponds to a predefined set of correlation relationships of these companies and/or individuals may be collected. The dataset may be stored in a graph database and a machine learning system may be built using features computed from the graph database. At least a new pair of companies or a new pair of an individual and a company may be evaluated. The system, method, and/or computer readable device may determine whether a hidden correlation relationship exists between them.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to an investment strategy for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: Method and apparatus for optimizing a convolutional neural network (CNN). A respective measure of importance is calculated for each of a plurality of elements within a CNN. A first one of the measures of importance is calculated by back propagating a second one of the measures of importance through the CNN. One or more of the plurality of elements is pruned from the CNN, based on the calculated measures of importance.

Abstract: A method, system, and computer product for detecting an oral temperature for a human include capturing a thermal image for a human using a camera having a thermal image sensor, detecting a face region of the human from the thermal image, detecting a mouth region on the face region, detecting an open mouth region on the mouth region, detecting a degree of mouth openness on the detected open mouth region, determining that the degree of mouth openness meets a predetermined criterion, and detecting the oral temperature, responsive to determining that the degree of mouth openness meets the predetermined criterion.

Abstract: A method, system, and computer product for detecting an oral temperature for a human include capturing a thermal image for a human using a camera having a thermal image sensor, detecting a face region of the human from the thermal image, detecting a mouth region on the face region, detecting an open mouth region on the mouth region, detecting a degree of mouth openness on the detected open mouth region, determining that the degree of mouth openness meets a predetermined criterion, and detecting the oral temperature, responsive to determining that the degree of mouth openness meets the predetermined criterion.

Abstract: A data storage and retrieval system for a computer memory includes a stream graph engine extracting graph data from streaming data, the graph data occupying a sliding window and comprising a plurality of slices representing a set of contiguous graphs, and where each slice of the plurality of slices corresponds to a given graph structure and its properties at a particular time, the stream graph engine causing the computer memory to store an on-disk portion of the graph data including a key table, a timestamp table and a plurality of property files, wherein the key table comprises a plurality of pointers to corresponding entries of the timestamp table, wherein each of the entries of the timestamp table comprise a corresponding timestamp and a pointer to the properties files, wherein the properties files comprise properties of a corresponding graph of the set of contiguous graphs, an in-memory portion of the graph data having a cache data structure storing a subset of the key table, and a versioning control modu

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.