Abstract: Systems, computer-implemented methods, and/or computer program products facilitating a process to identify and respond to a primary electronic message are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a determination component can determine that a primary electronic message has not received a response electronic message. An analysis component can generate a generated electronic message addressing the informational or emotional content of the primary electronic message. In one or more embodiments, an updating component can update the analytical model based on one or more feedbacks to the generated electronic message, where the analytical model can remain active while being updated.

Abstract: Embodiments of synchronized hinges for foldable displays are described. In some embodiments, a hinge may include: a first bracket coupled to a first shaft via a first arm, a second bracket coupled to a second shaft via a second arm, and a synchronization bracket coupled to the first and second shafts.

Abstract: A light source module and a projection device are provided. The light source module is configured to provide a laser beam and includes multiple laser source units and a focusing lens. The laser source units include a first laser source unit and a second laser source unit, respectively configured to provide a first laser beam and a second laser beam. The focusing lens is located on transmission paths of the first laser beam and the second laser beam. The first laser beam and the second laser beam are respectively incident on the focusing lens along a first direction. The first laser source unit and the second laser source unit are arranged along a second direction.

Abstract: In an approach to generating question answer pairs, one or more computer processors receive a corpus of text. One or more computer processors extract one or more key concepts from the corpus of text. Based on the one or more key concepts, one or more computer processors generate one or more questions associated with the key concepts, where the one or more key concepts are answers to the one or more generated questions. One or more computer processors display the one or more generated questions and the answers to the one or more generated questions.

Abstract: Techniques regarding a zero-confidence adversarial attack are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an adversarial component that computes a perturbation that causes misclassification by a neural network classifier. The computer executable components can also comprise a restoration component that determines a normal vector to a constraint contour developed by the neural network classifier. Further, the computer executable components can comprise a projection component that determines a tangential vector to the constraint contour.

Abstract: Aspects of the present disclosure relate to knowledge graph compression. An input knowledge graph (KG) can be received. The input KG can be encoded to receive a first set of node embeddings. The input KG can be compressed into an output KG. The output KG can be encoded to receive a second set of node embeddings. A model for KG compression can be trained using optimal transport based on a distance matrix between the first set of node embeddings and the second set of node embeddings.

Abstract: A light source module and a projection device are provided. The light source module is configured to provide a laser beam and includes multiple laser source units and a focusing lens. The laser source units include a first laser source unit, a second laser source unit, a third laser source unit and a fourth laser source unit respectively configured to provide a first laser beam, a second laser beam, a third laser beam and a fourth laser beam. The focusing lens is located on transmission paths of the first laser beam, the second laser beam, the third laser beam and the fourth laser beam. The first laser beam, the second laser beam, the third leaser beam and the fourth laser beam are respectively incident on the focusing lens along a first direction. The first laser source unit and the second laser source unit are arranged along a second direction.

Abstract: A DC-to-DC converter includes a first capacitor, first to fourth switches connected in series between first and second electrodes of the first capacitor, a second capacitor connected to a connection node of the first switch and the second switch and a connection node of the third switch and the fourth switch, an inductor connected to a connection node of the second switch and the third switch, and a controller that performs PWM control. In a case where a failure occurs in the second capacitor, the DC-to-DC converter performs PWM control such that the first switch and the second switch enter the same state and the third switch and the fourth switch enter the same state on the basis of a result of comparison between a first detection voltage that is a measured output voltage and a target output voltage of the DC-to-DC converter.

Abstract: A system for increasing a temperature of a battery includes: an inverter comprising a plurality of legs corresponding to a plurality of phases, respectively, wherein each of the legs comprises a pair of switching elements connected in series to both terminals of the battery, respectively; a motor comprising a plurality of coils corresponding to the plurality of phases, respectively, wherein each of the plurality of coils has one end connected to a connection node between the pair of switching elements included in each leg of the inverter, each leg corresponding to each of the plurality of coils, and other ends of plurality of coils are connected to each other; and a controller generating a battery application AC current applied to the battery by controlling on and off states of the pair of switching elements included in the legs of the inverter.

Abstract: A DC-to-DC converter includes a first capacitor, first, second, third, and fourth switches connected in series between first and second electrodes of the first capacitor, a second capacitor connected to a connection node of the first switch and the second switch and a connection node of the third switch and the fourth switch, an inductor connected to a connection node of the second switch and the third switch, and a controller that controls an on/off state of each of the first to fourth switches on the basis of a value obtained by applying a reciprocal of a detection current that is a measured current flowing through the inductor to a difference between a first detection voltage and a first voltage instruction value and a difference between a second detection voltage and a second voltage instruction value.

Abstract: To improve actual labels that are produced by a black box computer classifier system from inputs, identify, using an environment-aware predictor and an environment-agnostic predictor, a subset of the inputs. The subset of the inputs has a stable correlation with the actual labels across a plurality of environments. Identify the subset of the inputs as an explanatory rationale for the actual labels. Display the explanatory rationale with the actual labels to a consumer of the actual labels. Optionally, in response to the explanatory rationale failing a rubric established by the consumer, generate revised inputs by removing the explanatory rationale from the inputs; and produce revised labels by processing the revised inputs with the environment-agnostic predictor.

Abstract: A system for increasing a temperature of a battery includes an inverter including a plurality of legs each including one pair of switching devices connected in series to each other between opposite ends of the battery and corresponding to a plurality of phases, respectively, a motor including a plurality of coils corresponding to the plurality of phases, respectively, where one end of each of the plurality of coils is connected to a connection node between one pair of switching devices included in a corresponding leg and other ends of the coils are connected to each other, and a controller configured to select two phases of the plurality of phases, and to alternately control an on/off state of switching devices included in two legs in the inverter, corresponding to the two selected phases, at a preset switching frequency to generate alternating current (AC) supplied to the battery.

Abstract: A hinge assembly is provided for hingedly connecting a first frame to a second frame, and includes at least one hinge module which includes a first mounting base, a first connection member, a second connection member, and a transmission unit. The first and second connection members are coupled to the first and second frames, respectively, and are turnably mounted to the first mounting base respectively about first and second turning axes which are parallel to and offset from each other. The transmission unit is provided to permit the first and second connection members to turn in opposite rotational directions from each other whilst turning simultaneously.

Abstract: A computer system identifies threads in a communication session. A feature vector is generated for a message in a communication session, wherein the feature vector includes elements for features and contextual information of the message. The message feature vector and feature vectors for a plurality of threads are processed using machine learning models each associated with a corresponding thread to determine a set of probability values for classifying the message into at least one thread, wherein the threads include one or more pre-existing threads and a new thread. A classification of the message into at least one of the threads is indicated based on the set of probability values. Classification of one or more prior messages is adjusted based on the message's classification. Embodiments of the present invention further include a method and program product for identifying threads in a communication session in substantially the same manner described above.

Abstract: A battery-heating system and method using a motor-driving system is provided. The battery-heating system includes an inverter having legs respectively including a pair of switching elements connected in series between the ends of a battery and corresponding to a plurality of phases. A motor of the system includes coils each having one end connected to a connection end between a pair of switching elements of the legs, other ends of the plurality of coils being connected together. A controller determines one of the plurality of phases as a reference phase, and alternately controls the on-off states of the switching elements so that the on-off state of the switching element included in the leg corresponding to the reference phase and the switching element included in the other leg are mutually complementary, thereby generating AC current to be injected into the battery.

Abstract: Techniques facilitating detection of conversation threads in unstructured channels are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that employs a model to detect conversation messages based on a defined confidence level and assigns the conversation messages to respective conversation thread categories. The computer executable components also can comprise a model component that trains the model on conversation messages that comprise respective text data, wherein the model is trained to detect the respective text data to the defined confidence level.

Abstract: A current observation expressed in natural language is received. Entities in the current observation are extracted. A relevant historical observation is retrieved, which has at least one of the entities in common with the current observation. The current observation and the relevant historical observation are combined as observations. The observations and a template list specifying a list of verb phrases to be filled-in with at least some of the entities are input to a neural network, which can output the template list of the verb phrases filled-in with said at least some of the entities. The neural network can include attention mechanism. A reward associated with the neural network's output can be received and fed back to the neural network for retraining the neural network.

Abstract: A method comprises receiving a new data set; identifying at least one prior data set of a plurality of prior data sets that matches the new data set; generating a natural language data science problem statement for the new data set based on information associated with the at least prior one data set that matches the new data set; outputting the generated natural language data science problem statement for user verification; and in response to receiving user input verifying the natural language generated data science problem statement, generating one or more AutoAI configuration settings for the new data set based on one or more AutoAI configuration settings associated with the at least one prior data set that matches the new data set.

Abstract: Methods and apparatus for complementary evidence identification in natural language inference. A given question is obtained and a set of N passages is obtained from a database. A probability is determined, for each passage of the set of N passages, of a corresponding passage being a supportive passage for the given question and the set of N passages is ranked based on the determined probabilities. M passages that are ranked 1 to M of the set of N passages are selected. A set of L passages is selected based on a plurality of scores, each score assigned to a set of candidate passages of the set of N passages, each score being based on the determined probabilities, the selected M passages, and a weighted regulation parameter. The set of L passages is provided to a computerized machine learning system to answer the question based on the set of L passages.

Abstract: Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the automated data table discovery for automated machine learning, and, more specifically, to leveraging a trained cognitive system to automatically search for additional data in an external data source that may be merged with an initial user-selected data table to generate a more robust machine learning model. Manual efforts to find and validate data appropriate for building and training a particular model for a particular task are significantly reduced. Specifically, a learning-based approach to leverage with machine learning models to automatically discover related datasets and join the datasets for a given initial dataset is disclosed herein. Operations that include dataset selection facilitate continued reinforcement learning of the systems.