Abstract: An embodiment of the present invention provides a neural network operator that performs a plurality of processes for each of a plurality of layers of a neural network, including: a memory that includes a data-storing space storing a plurality of data for performing the plurality of processes and a synapse code-storing space storing a plurality of descriptors with respect to the plurality of processes; a memory-transmitting processor that obtains the plurality of descriptors and transmits the plurality of data to the neural network operator based on the plurality of descriptors; an embedded instruction processor that obtains the plurality of descriptors from the memory-transmitting processor, transmits a first data set in a first descriptor to the neural network operator based on the first descriptor corresponding to the first process among the plurality of processes, reads a second descriptor corresponding to a second process, which is a next operation of the first process, based on the first descriptor, and

Abstract: A system (1000) for automated question answering, including: semantic space (210) generated from a corpus of questions and answers; a user interface (1030) configured to receive a question; and a processor (1100) comprising: (i) a question decomposition engine (1050) configured to decompose the question into a domain, a keyword, and a focus word; (ii) a question similarity generator (1060) configured to identify one or more questions in a semantic space using the decomposed question; (iii) an answer extraction and ranking engine (1080) configured to: extract, from the semantic space, answers associated with the one or more identified questions; and identify one or more of the extracted answers as a best answer; and (iv) an answer tuning engine (1090) configured to fine-tune the identified best answer using one or more of the domain, keyword, and focus word; wherein the fine-tuned answer is provided to the user via the user interface.

Abstract: An artificial neural network apparatus and an operating method including a plurality of layer processors for performing operations on input data are disclosed. The artificial neural network apparatus may include: a flag layer processor for outputting a flag according to a comparison result between a pooling output value of a current frame and a pooling output value of a previous frame; and a controller for stopping operation of a layer processor which performs operations after the flag layer processor among the plurality of layer processors when the flag is outputted from the flag layer processor, wherein the flag layer processor is a layer processor that performs a pooling operation first among the plurality of layer processors.

Abstract: An ultrasound diagnosis apparatus for emitting ultrasound waves to an examination object and obtaining an ultrasound image is provided. The apparatus includes a touch display configured to display a screen that includes the ultrasound image, and a controller configured to receive a touch input associated with the ultrasound image, and set a focus or depth of the ultrasound image to be displayed based on a touched position.

Abstract: An apparatus and method for detecting a container rootkit are provided. The apparatus for detecting a container rootkit according to one example embodiment of the present disclosure includes a detection target acquirer configured to acquire, as a detection target, a copy of a kernel module program configured to be executed on a host computer system, wherein the host computer system is configured to run one or more containers; and a rootkit detector configured to detect whether a rootkit is present in the detection target based on whether the detection target contains program code for modifying operation of a pre-defined kernel function.

Abstract: A system (500) for automated clinical diagnosis includes: a knowledge graph (310, 510) generated using a curated corpus of medical information (520) and comprising a plurality of nodes; a user interface (512) configured to receive input comprising information about at least one patient symptom (316) and at least one patient demographic parameter (318); and a processor (530) configured to extract the at least one patient symptom and demographic parameter, and further configured to: (i) weight the extracted patient symptom; (ii) query the knowledge graph to generate a diagnosis graph as a subset of the knowledge graph; (iii) identify a ranked list of medical conditions for the patient from the diagnosis graph; and (iv) adjust, based on the extracted at least one demographic parameter about the patient, the ranking of the ranked list; wherein the identified medical conditions are provided to the user via the user interface.

Abstract: A medical information retrieval system comprises a natural language processing system that processes a vocal user query to identify key words and phrases. These key words and phrases are provided to an inferencing engine that provides a set of knowledge-based inferences from medical knowledge sources, based on these key words and phrases. Thereafter, these knowledge-based inferences are provided to an information retrieval engine that retrieves a corresponding plurality of medical articles based on these knowledge-based inferences, and ranks each with respect to the knowledge-based inferences. A summary engine receives the ranked articles and creates a model based on the topical keywords and candidate sentences found in the highly ranked articles. A paraphrase engine processes the candidate sentences to provide a summary response based on a knowledge-based paraphrase model. An audio output device renders the summary report as the response to the user's original vocal query.

Abstract: The described embodiments relate to systems, methods, and apparatus for providing a multimodal deep memory network (200) capable of generating patient diagnoses (222). The multimodal deep memory network can employ different neural networks, such as a recurrent neural network and a convolution neural network, for creating embeddings (204, 214, 216) from medical images (212) and electronic health records (206). Connections between the input embeddings (204) and diagnoses embeddings (222) can be based on an amount of attention that was given to the images and electronic health records when creating a particular diagnosis. For instance, the amount of attention can be characterized by data (110) that is generated based on sensors that monitor eye movements of clinicians observing the medical images and electronic health records.

Abstract: In adverse drug event (ADE) monitoring and reporting, drug-related messages (60) are detected in one or more social media message streams as messages that include a name of a monitored drug. ADE reports (62) are extracted from the drug-related messages using an ADE classifier (46). The extracted ADE reports are validated by comparison with known ADEs of the monitored drug stored in an ADE knowledge base (64). Extracted ADE reports that fail the validating are collected in a non-validated ADE reports database (72). A report (74) is generated including information on at least one previously unrecognized ADE for which extracted ADE reports in the non-validated ADE reports database satisfy a previously unrecognized ADE criterion (in terms of number of messages or number of unique patients reporting the ADE).

Abstract: Techniques are described herein for training and applying memory neural networks, such as “condensed” memory neural networks (“C-MemNN”) and/or “average” memory neural networks (“A-MemNN”). In various embodiments, the memory neural networks may be iteratively trained using training data in the form of free form clinical notes and clinical reference documents. In various embodiments, during each iteration of the training, a so-called “condensed” memory state may be generated and used as part of the next iteration. Once trained, a free form clinical note associated with a patient may be applied as input across the memory neural network to predict one or more diagnoses or outcomes of the patient.

Abstract: The present invention relates to a system and method for parallel query processing by applying just-in-time (JIT) compilation-based query optimization when a query is processed. The system for parallel query processing based on JIT compilation according to the present invention includes a parallel processing scheduler configured to receive a database (DB) operation graph and operation dependency relation and distribute execution tasks and workers configured to execute a query executable code, wherein the workers include a worker for executing a JIT compiled executable code and a worker for executing the query executable code in an interpreter manner.

Abstract: Provided are a display device for allowing a first user to use information about content played by a device of a second user, when the user selects content to be received and played via the display device, and a method of controlling the same. The method includes the first display device providing first user identification information of the first user to a server; obtaining, from the server, electronic content guide information including second user identification information of a second user that is related to the first user and playback content identification information that corresponds to the second user; displaying, on the first display device, a user interface (UI) for selecting content that corresponds to the playback content identification information, based on the electronic content guide information; and the first display device playing content that is selected by using the UI.

Abstract: Provided is an ultrasound diagnosis apparatus and a method of operating the ultrasound diagnosis apparatus. The method includes: obtaining first Doppler data of a blood flow introduced into a cardiac ventricle of an object and second Doppler data of a blood flow discharged from the cardiac ventricle; setting a landmark corresponding to a predetermined motion of the cardiac ventricle in each of a first Doppler image generated based on the first Doppler data and a second Doppler image generated based on the second Doppler data; synchronizing the first Doppler image and the second Doppler image based on the set landmark; and displaying the first Doppler image and the second Doppler image that are synchronized.

Abstract: An air conditioner having a projector and a method for controlling the same output an image to a display plate of the air conditioner and to the periphery of the air conditioner.

Abstract: Provided are a method and apparatus for processing a data stream capable of providing a data flow processing language to support real-time processing of an exploding data stream and providing an environment for executing the data flow processing language in a cluster system. The data flow-based exploding data stream processing method includes receiving a big data real-time processing service described in a real-time data flow language, interpreting the big data real-time processing service to generate a distributed stream processing service, and distributively deploying the distributed stream processing service in a cluster system including multiple nodes and configuring an execution environment for executing the distributed stream processing service in each node.

Abstract: Provided is an artificial neural network device including pre-synaptic neurons configured to generate a plurality of input spike signals, and a post-synaptic neuron configured to receive the plurality of input spike signals and to generate an output spike signal during a plurality of time periods, wherein the post-synaptic neuron respectively applies different weights in the plurality of time periods according to contiguousness with a reference time period in which input spike signals, which lead generation of the output spike signal from among the plurality of input spike signals, are received.

Abstract: Provided is a convolutional neural network system. The system includes an input buffer configured to store an input feature, a parameter buffer configured to store a learning parameter, a calculation unit configured to perform a convolution layer calculation or a fully connected layer calculation by using the input feature provided from the input buffer and the learning parameter provided from the parameter buffer, and an output buffer configured to store an output feature outputted from the calculation unit and output the stored output feature to the outside. The parameter buffer provides a real learning parameter to the calculation unit at the time of the convolution layer calculation and provides a binary learning parameter to the calculation unit at the time of the fully connected layer calculation.

Abstract: Disclosed herein is a distributed in-memory database system for partitioning a database and allocating the partitioned database to a plurality of distributed nodes, wherein at least one of the plurality of nodes includes a plurality of central processing unit (CPU) sockets in which a plurality of CPU cores are installed, respectively; a plurality of memories respectively connected to the plurality of CPU sockets; and a plurality of database server instances managing allocated database partitions, wherein each database server instance is installed in units of CPU socket groups including a single CPU socket or at least two CPU sockets.

Abstract: Disclosed are a system and a method for address translation for a flash memory device, and particularly, disclosed is a technology that is capable of efficiently performing address translation between a logical address provided to the outside of a flash memory and a physical address of an actual flash memory in managing the flash memory device. The system includes: a flash memory system writing a corresponding data page by allocating a physical address space when there is a request for writing a data page from storage clients, and performing address translation between a physical address and a logical address; and a logical address space formed between the flash memory system and the storage client to provide the logical address.

Abstract: A method and an apparatus of a display device for providing a personalized object are provided. The method including reproducing content, receiving an input from a first user selecting a first section of the content being reproduced, and generating a first personalized object corresponding to reproducing the selected first section, based on information about the selected first section, link information of the content, and information about an image corresponding to the content, is provided.