Abstract: The invention relates to the therapeutic use of stabilized oligoribonucleotides as immune modulatory agents for immune therapy applications. Specifically, the invention provides RNA based oligoribonucleotides with improved nuclease and RNase stability and that have immune modulatory activity through TLR7 and/or TLR8.

Abstract: Recurrent conditional random field (R-CRF) embodiments are described. In one embodiment, the R-CFR receives feature values corresponding to a sequence of words. Semantic labels for words in the sequence of words are then generated and each label is assigned to the appropriate one of the words in the sequence of words. The R-CRF used to accomplish these tasks includes a recurrent neural network (RNN) portion and a conditional random field (CRF) portion. The RNN portion receives feature values associated with a word in the sequence of words and outputs RNN activation layer activations data that is indicative of a semantic label. The CRF portion inputs the RNN activation layer activations data output from the RNN for one or more words in the sequence of words and outputs label data that is indicative of a separate semantic label that is to be assigned to each of the words.

Abstract: Discriminative pretraining technique embodiments are presented that pretrain the hidden layers of a Deep Neural Network (DNN). In general, a one-hidden-layer neural network is trained first using labels discriminatively with error back-propagation (BP). Then, after discarding an output layer in the previous one-hidden-layer neural network, another randomly initialized hidden layer is added on top of the previously trained hidden layer along with a new output layer that represents the targets for classification or recognition. The resulting multiple-hidden-layer DNN is then discriminatively trained using the same strategy, and so on until the desired number of hidden layers is reached. This produces a pretrained DNN. The discriminative pretraining technique embodiments have the advantage of bringing the DNN layer weights close to a good local optimum, while still leaving them in a range with a high gradient so that they can be fine-tuned effectively.

Abstract: A method of notifying an operation state change of a device is provided. The method includes receiving a message by a first device; identifying, by the first device, that a second device is currently connected to the first device through a network; and transmitting, by the first device, information regarding the message to the second device. The information is displayed on a display unit of the second device.

Abstract: A control device which controls the power of a plurality of apparatuses in a home network, and a method thereof are provided. The control device includes an input unit which receives a power off command, and a control unit which concurrently turns off apparatuses which are currently turned on among the plurality of apparatuses in response to the power off command received by the input unit. Therefore, it is possible for a user to concurrently turn off currently running apparatuses so user convenience can increase.

Abstract: Methods of inhibiting replication of human cytomegalovirus (HCMV) are disclosed. In various configurations, these methods comprise administering a therapeutically effective amount of a bromodomain inhibitor to a subject in need thereof. Bromodomain inhibitors including methyltriazolodiazepine-related compounds, 3,5-dimethylisoxazole-related compounds, 3-methyldihydroquinazolinone-related compounds, N-acetyl-2-methyltetrahydroquinoline-related compounds, quinazolone-related compounds, diazobenzene-related compounds, and triazolopyridazine-related compounds can be used to inhibit viral replication.

Abstract: A database having listings rather than long documents is searched using a term frequency-inverse document frequency (Tf/Idf) algorithm.

Abstract: The invention provides novel immune regulatory oligonucleotides (IRO) as antagonist of TLRs and methods of use thereof. These IROs have unique sequences that inhibit or suppress TLR-mediated signaling in response to a TLR ligand or TLR agonist. The methods may have use in the prevention and treatment of cancer, an autoimmune disorder, airway inflammation, inflammatory disorders, infectious disease, skin disorders, allergy, asthma or a disease caused by a pathogen.

Abstract: Disclosed is a mobile device, a control method thereof, a message sending apparatus and a message sending method. The mobile device includes a wireless communication unit which performs wireless communication via a wireless network; a signal processing unit which processes a signal transmitted/received by the wireless communication unit; a display unit which displays an image based on the signal processed by the signal processing unit; and a control unit which receives a message from a counterpart device, displays the received message on the display unit, remotely accesses a remote device, and controls the remote device to allow the mobile device to access information stored in the remote device.

Abstract: In one embodiment, providing, by a client device, device information and key data over a network to a server device, the device information uniquely identifying the client device; generating a device key, by a device key generation logic, at the server device based on the device information; receiving a module from the server device, the module comprising a bound content key and the device key generation logic, wherein the bound content key is encrypted by the device key at the server device; and processing protected content using the module.

Abstract: Various technologies described herein pertain to conservatively adapting a deep neural network (DNN) in a recognition system for a particular user or context. A DNN is employed to output a probability distribution over models of context-dependent units responsive to receipt of captured user input. The DNN is adapted for a particular user based upon the captured user input, wherein the adaption is undertaken conservatively such that a deviation between outputs of the adapted DNN and the unadapted DNN is constrained.

Abstract: An apparatus and method of connecting an external device are provided. The method includes connecting the apparatus to the external device when a distance between the external device and the apparatus is less than a reference range; after the external device is connected to the apparatus, continuously maintaining the connection when a distance between the external device and the apparatus is greater than the reference range; and disconnecting the external device from the apparatus when a distance between the external device and the apparatus is greater than a detectable range.

Abstract: A control method of a server is provided. Location information is extracted from photographed data. The photographed data is linked to a course of travel having a pre-stored street image, by applying a predetermined standard based on the extracted location information. The photographed data is provided together with the linked course of travel having the pre-stored street image.

Abstract: A tensor deep stacked neural (T-DSN) network for obtaining predictions for discriminative modeling problems. The T-DSN network and method use bilinear modeling with a tensor representation to map a hidden layer to the predication layer. The T-DSN network is constructed by stacking blocks of a single hidden layer tensor neural network (SHLTNN) on top of each other. The single hidden layer for each block then is separated or divided into a plurality of two or more sections. In some embodiments, the hidden layer is separated into a first hidden layer section and a second hidden layer section. These multiple sections of the hidden layer are combined using a product operator to obtain an implicit hidden layer having a single section. In some embodiments the product operator is a Khatri-Rao product. A prediction is made using the implicit hidden layer and weights, and the output prediction layer is consequently obtained.

Abstract: A control device which controls the power of a plurality of apparatuses in a home network, and a method thereof are provided. The control device includes an input unit which receives a power off command, and a control unit which concurrently turns off apparatuses which are currently turned on among the plurality of apparatuses in response to the power off command received by the input unit. Therefore, it is possible for a user to concurrently turn off currently running apparatuses so user convenience can increase.

Abstract: A method of making soymilk using a soymilk maker (200, 300), said soymilk maker comprising: a container (201, 301), a grinding device (202), a heating device (203), a level sensor (204, 304) set at the upper part of said container for detecting the liquid level of the material in said container, and a water injection device (205, 305) for injecting water into said container; which method comprises the steps of: a) grinding the material, and heating the material in said container (201, 301) by applying a first power; b) during a preset period, performing a first detection using said level sensor (204, 304); and, if said level sensor is triggered by the foam generated in the process of making soymilk, heating the material in said container (201, 301) by applying a second power, said second power being lower than said first power; c) after said first detection, performing a second detection by means of said level sensor (204, 304) after a predetermined time interval; and, if said level sensor is triggered by the

Abstract: The claimed subject matter includes a system and method for recognizing mixed speech from a source. The method includes training a first neural network to recognize the speech signal spoken by the speaker with a higher level of a speech characteristic from a mixed speech sample. The method also includes training a second neural network to recognize the speech signal spoken by the speaker with a lower level of the speech characteristic from the mixed speech sample. Additionally, the method includes decoding the mixed speech sample with the first neural network and the second neural network by optimizing the joint likelihood of observing the two speech signals considering the probability that a specific frame is a switching point of the speech characteristic.

Abstract: The adaptation and personalization of a deep neural network (DNN) model for automatic speech recognition is provided. An utterance which includes speech features for one or more speakers may be received in ASR tasks such as voice search or short message dictation. A decomposition approach may then be applied to an original matrix in the DNN model. In response to applying the decomposition approach, the original matrix may be converted into multiple new matrices which are smaller than the original matrix. A square matrix may then be added to the new matrices. Speaker-specific parameters may then be stored in the square matrix. The DNN model may then be adapted by updating the square matrix. This process may be applied to all of a number of original matrices in the DNN model. The adapted DNN model may include a reduced number of parameters than those received in the original DNN model.

Abstract: A method of notifying an operation state change of a device is provided. The method includes forming a network including at least one device that is used by a user and that performs network communication; and when the operation state change of one of the at least one device in the network occurs, transmitting information regarding the operation state change of the one of the at least one device to another one of the at least one device. The information is displayed on a display unit of the another one of the at least one device.

Abstract: Disclosed is a mobile device, a control method thereof, a message sending apparatus and a message sending method. The mobile device includes a wireless communication unit which performs wireless communication via a wireless network; a signal processing unit which processes a signal transmitted/received by the wireless communication unit; a display unit which displays an image based on the signal processed by the signal processing unit; and a control unit which receives a message from a counterpart device, displays the received message on the display unit, remotely accesses a remote device, and controls the remote device to allow the mobile device to access information stored in the remote device.